d1-2B
Explore d1-2B: exact decision configuration, published specifications, source-linked benchmarks and API tariffs when available.
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49 recorded observations. Published results retain their source and setup; no Examenos evaluation was run. Missing results are not zero. How to read these comparisons →
Official / vendor · Liquid AI (vendor measured)
| Evaluation | Result | Evidence |
|---|---|---|
| Liquid LFM3 d1 cards · Decision Index public suite (v0.3) | 51.1 | Setup & sourceDecision Index public suite (v0.3) as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Decisions. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · DecisionBench (Hanno Labs) v1 | 77.1 points | Setup & sourceDecisionBench (Hanno Labs) v1 as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Decisions. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · Decision Bench (decisionbench.ai) v4 | 85.2 points | Setup & sourceDecision Bench (decisionbench.ai) v4 as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Decisions. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · Fast Decisions | 58.8 points | Setup & sourceFast Decisions as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Decisions. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · JevBench v1.4.1 | 77.9 points | Setup & sourceJevBench v1.4.1 as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Decisions. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · ImajevBench v2.0-lite | 75.5 points | Setup & sourceImajevBench v2.0-lite as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Decisions. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · WorkflowEvals | 81.6 points | Setup & sourceWorkflowEvals as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Decisions. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · Typed Decisions | 61.3 points | Setup & sourceTyped Decisions as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Decisions. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · Liquid decision board (over a hundred public and private benchmarks) | 63.2 points | Setup & sourceLiquid decision board (over a hundred public and private benchmarks) as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Decisions. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · AI2D | 76.7 points | Setup & sourceAI2D as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Vision. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · BLINK | 66.2 points | Setup & sourceBLINK as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Vision. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · CountQA | 51.4 points | Setup & sourceCountQA as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Vision. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · CV-Bench | 86.1 points | Setup & sourceCV-Bench as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Vision. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · ERQA | 45.8 points | Setup & sourceERQA as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Vision. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · HallusionBench | 72.1 points | Setup & sourceHallusionBench as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Vision. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · MMBench | 87.9 points | Setup & sourceMMBench as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Vision. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · MME | 85.4 points | Setup & sourceMME as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Vision. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · MMMU-Pro | 26.4 points | Setup & sourceMMMU-Pro as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Vision. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · MMRB2 | 54.2 points | Setup & sourceMMRB2 as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Vision. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · MMStar | 67.5 points | Setup & sourceMMStar as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Vision. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · MMVP | 82.7 points | Setup & sourceMMVP as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Vision. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · NaturalBench | 81.5 points | Setup & sourceNaturalBench as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Vision. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · POPE | 88.7 points | Setup & sourcePOPE as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Vision. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · V* | 76.4 points | Setup & sourceV* as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Vision. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · VisualPuzzles | 29.9 points | Setup & sourceVisualPuzzles as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Vision. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · VisualWebBench | 96.2 points | Setup & sourceVisualWebBench as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Vision. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · VL-RewardBench | 69.3 points | Setup & sourceVL-RewardBench as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Vision. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · Average (vendor mean of shared public benchmarks) | 70.2 points | Setup & sourceAverage (vendor mean of shared public benchmarks) as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the LFM3 d1 card benchmark table; unpublished cells are omitted, not zero. Liquid AI vendor measurements from the LFM3 d1 model cards; the d1-2B and d1-Omni-2B cards publish the identical four-model table. All four models are scored on the same items with the same scoring, so a few d1-3B and d1-omni-600M values differ slightly from their own October cards. Average is the vendor's unweighted mean of the public benchmarks all four models have (excludes Fast Decisions and the board). Image benchmarks are read as decisions over each benchmark's options, on at most 1,000 rows each; Liquid calls POPE, MME and VisualWebBench saturated. The card does not name each benchmark's metric; values are kept as printed. Exact item populations, prompts and served precision are unpublished. Card group: Vision. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · Speed · NVIDIA H100 PCIe · One question | 5.7 ms | Setup & sourceSpeed · NVIDIA H100 PCIe · One question as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the model card speed table; vendor timing, no score ranking. Liquid AI vendor timing: warm calls after model.compile() in bf16, median of 20 calls, best of three runs on the H100 and the M5 Pro. Hardware and setup are vendor-specific; not a hosted-API latency or tariff. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · Speed · NVIDIA H100 PCIe · 3 questions | 7.6 ms | Setup & sourceSpeed · NVIDIA H100 PCIe · 3 questions as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the model card speed table; vendor timing, no score ranking. Liquid AI vendor timing: warm calls after model.compile() in bf16, median of 20 calls, best of three runs on the H100 and the M5 Pro. Hardware and setup are vendor-specific; not a hosted-API latency or tariff. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · Speed · NVIDIA H100 PCIe · 5K-token state | 52.0 ms | Setup & sourceSpeed · NVIDIA H100 PCIe · 5K-token state as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the model card speed table; vendor timing, no score ranking. Liquid AI vendor timing: warm calls after model.compile() in bf16, median of 20 calls, best of three runs on the H100 and the M5 Pro. Hardware and setup are vendor-specific; not a hosted-API latency or tariff. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · Speed · NVIDIA H100 PCIe · 384 px picture | 12.3 ms | Setup & sourceSpeed · NVIDIA H100 PCIe · 384 px picture as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the model card speed table; vendor timing, no score ranking. Liquid AI vendor timing: warm calls after model.compile() in bf16, median of 20 calls, best of three runs on the H100 and the M5 Pro. Hardware and setup are vendor-specific; not a hosted-API latency or tariff. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · Speed · NVIDIA H100 PCIe · Box | 16.1 ms | Setup & sourceSpeed · NVIDIA H100 PCIe · Box as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the model card speed table; vendor timing, no score ranking. Liquid AI vendor timing: warm calls after model.compile() in bf16, median of 20 calls, best of three runs on the H100 and the M5 Pro. Hardware and setup are vendor-specific; not a hosted-API latency or tariff. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · Speed · NVIDIA H100 PCIe · Boxes | 24.4 ms | Setup & sourceSpeed · NVIDIA H100 PCIe · Boxes as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the model card speed table; vendor timing, no score ranking. Liquid AI vendor timing: warm calls after model.compile() in bf16, median of 20 calls, best of three runs on the H100 and the M5 Pro. Hardware and setup are vendor-specific; not a hosted-API latency or tariff. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · Speed · NVIDIA H100 PCIe · 64 states in one call (states/s) | 1132.0 requests/s | Setup & sourceSpeed · NVIDIA H100 PCIe · 64 states in one call (states/s) as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the model card speed table; vendor timing, no score ranking. Liquid AI vendor timing: warm calls after model.compile() in bf16, median of 20 calls, best of three runs on the H100 and the M5 Pro. Hardware and setup are vendor-specific; not a hosted-API latency or tariff. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · Speed · AMD MI325X · One question | 3.8 ms | Setup & sourceSpeed · AMD MI325X · One question as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the model card speed table; vendor timing, no score ranking. Liquid AI vendor timing: warm calls after model.compile() in bf16, median of 20 calls, best of three runs on the H100 and the M5 Pro. Hardware and setup are vendor-specific; not a hosted-API latency or tariff. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · Speed · AMD MI325X · 3 questions | 5.6 ms | Setup & sourceSpeed · AMD MI325X · 3 questions as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the model card speed table; vendor timing, no score ranking. Liquid AI vendor timing: warm calls after model.compile() in bf16, median of 20 calls, best of three runs on the H100 and the M5 Pro. Hardware and setup are vendor-specific; not a hosted-API latency or tariff. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · Speed · AMD MI325X · 5K-token state | 44.0 ms | Setup & sourceSpeed · AMD MI325X · 5K-token state as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the model card speed table; vendor timing, no score ranking. Liquid AI vendor timing: warm calls after model.compile() in bf16, median of 20 calls, best of three runs on the H100 and the M5 Pro. Hardware and setup are vendor-specific; not a hosted-API latency or tariff. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · Speed · AMD MI325X · 384 px picture | 8.7 ms | Setup & sourceSpeed · AMD MI325X · 384 px picture as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the model card speed table; vendor timing, no score ranking. Liquid AI vendor timing: warm calls after model.compile() in bf16, median of 20 calls, best of three runs on the H100 and the M5 Pro. Hardware and setup are vendor-specific; not a hosted-API latency or tariff. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · Speed · AMD MI325X · Box | 11.2 ms | Setup & sourceSpeed · AMD MI325X · Box as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the model card speed table; vendor timing, no score ranking. Liquid AI vendor timing: warm calls after model.compile() in bf16, median of 20 calls, best of three runs on the H100 and the M5 Pro. Hardware and setup are vendor-specific; not a hosted-API latency or tariff. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · Speed · AMD MI325X · Boxes | 16.5 ms | Setup & sourceSpeed · AMD MI325X · Boxes as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the model card speed table; vendor timing, no score ranking. Liquid AI vendor timing: warm calls after model.compile() in bf16, median of 20 calls, best of three runs on the H100 and the M5 Pro. Hardware and setup are vendor-specific; not a hosted-API latency or tariff. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · Speed · AMD MI325X · 64 states in one call (states/s) | 1699.0 requests/s | Setup & sourceSpeed · AMD MI325X · 64 states in one call (states/s) as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the model card speed table; vendor timing, no score ranking. Liquid AI vendor timing: warm calls after model.compile() in bf16, median of 20 calls, best of three runs on the H100 and the M5 Pro. Hardware and setup are vendor-specific; not a hosted-API latency or tariff. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · Speed · Apple M5 Pro (mps) · One question | 18.6 ms | Setup & sourceSpeed · Apple M5 Pro (mps) · One question as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the model card speed table; vendor timing, no score ranking. Liquid AI vendor timing: warm calls after model.compile() in bf16, median of 20 calls, best of three runs on the H100 and the M5 Pro. Hardware and setup are vendor-specific; not a hosted-API latency or tariff. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · Speed · Apple M5 Pro (mps) · 3 questions | 26.5 ms | Setup & sourceSpeed · Apple M5 Pro (mps) · 3 questions as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the model card speed table; vendor timing, no score ranking. Liquid AI vendor timing: warm calls after model.compile() in bf16, median of 20 calls, best of three runs on the H100 and the M5 Pro. Hardware and setup are vendor-specific; not a hosted-API latency or tariff. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · Speed · Apple M5 Pro (mps) · 5K-token state | 753.0 ms | Setup & sourceSpeed · Apple M5 Pro (mps) · 5K-token state as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the model card speed table; vendor timing, no score ranking. Liquid AI vendor timing: warm calls after model.compile() in bf16, median of 20 calls, best of three runs on the H100 and the M5 Pro. Hardware and setup are vendor-specific; not a hosted-API latency or tariff. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · Speed · Apple M5 Pro (mps) · 384 px picture | 45.2 ms | Setup & sourceSpeed · Apple M5 Pro (mps) · 384 px picture as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the model card speed table; vendor timing, no score ranking. Liquid AI vendor timing: warm calls after model.compile() in bf16, median of 20 calls, best of three runs on the H100 and the M5 Pro. Hardware and setup are vendor-specific; not a hosted-API latency or tariff. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · Speed · Apple M5 Pro (mps) · Box | 53.5 ms | Setup & sourceSpeed · Apple M5 Pro (mps) · Box as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the model card speed table; vendor timing, no score ranking. Liquid AI vendor timing: warm calls after model.compile() in bf16, median of 20 calls, best of three runs on the H100 and the M5 Pro. Hardware and setup are vendor-specific; not a hosted-API latency or tariff. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · Speed · Apple M5 Pro (mps) · Boxes | 100.0 ms | Setup & sourceSpeed · Apple M5 Pro (mps) · Boxes as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the model card speed table; vendor timing, no score ranking. Liquid AI vendor timing: warm calls after model.compile() in bf16, median of 20 calls, best of three runs on the H100 and the M5 Pro. Hardware and setup are vendor-specific; not a hosted-API latency or tariff. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |
| Liquid LFM3 d1 cards · Speed · Apple M5 Pro (mps) · 64 states in one call (states/s) | 109.0 requests/s | Setup & sourceSpeed · Apple M5 Pro (mps) · 64 states in one call (states/s) as reported by Liquid AI on the LFM3 d1 model cards Released open d1-2B checkpoint, card revision cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41. From the model card speed table; vendor timing, no score ranking. Liquid AI vendor timing: warm calls after model.compile() in bf16, median of 20 calls, best of three runs on the H100 and the M5 Pro. Hardware and setup are vendor-specific; not a hosted-API latency or tariff. Checked / reported: 2026-10-28 · Samples: Not published Snapshot: 2026-10-27 · Revision: d1-2B cfe5760ff5d5998f91d9ac56bd4b2dbd96996d41; d1-Omni-2B c8d48c08dada0191c6b362820f055cfb49c99426 · Published observations; result reuse terms not specified Result source · Benchmark source |