Mistral Large 4
Explore Mistral Large 4 from Mistral AI: published specifications, source-linked vendor benchmarks, independent evaluator coverage and recorded pricing when available.
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Pricing · OpenRouter
Dated cached OpenRouter rates in USD per 1M tokens. Open the dashboard for live enhancements. Per-metric endpoint minima can refer to different providers; they are not a guaranteed combined rate from one endpoint.
| Tier | Input / 1M | Output / 1M | Cached input / 1M | Cache write / 1M | Date & source |
|---|---|---|---|---|---|
| Default | $0.7 | $2.1 | $0.07 | — | 2026-11-01 · OpenRouter source |
Recorded pricing notes
Mistral’s post links this route for the released weights. Its canonical slug still carries the 20261006 date; 3 endpoints at the 2026-11-01 check. No contributor sibling; min-healthy endpoint minima 2026-11-01
Official / vendor benchmarks
Default headline records. Own-vendor, peer-vendor and third-party provenance remain visible in evidence; configurations may differ.
| Benchmark / evaluator | Headline score | Evidence |
|---|---|---|
| FrontierCode 2.0 | 19.7%unknown effort | All 1 recorded result & sources19.7% · raw 19.7 % Headline · unknown effort · Own vendor Source/record date: 2026-10-29 Mistral’s 29 October chart for the released weights. Cognition FrontierCode 2.0, as charted by Mistral. Cognition’s board had no Mistral Large 4 row at the 29 October check. https://mistral.ai/news/mistral-large-4-oss/ |
| Terminal-Bench 4.0 | 41.4%unknown effort | All 1 recorded result & sources41.4% · raw 41.4 % Headline · unknown effort · Own vendor Source/record date: 2026-10-29 Mistral’s 29 October chart for the released weights. Chart title “Artificial Analysis Coding Agent Index - Terminal-Bench 4.0”; the post’s text rounds to 41%. https://mistral.ai/news/mistral-large-4-oss/ |
| AA Cyber Index (vendor-reported successes) | 50.9%unknown effort | All 1 recorded result & sources50.9% · raw 50.9 % Headline · unknown effort · Own vendor Source/record date: 2026-10-29 Mistral’s 29 October chart for the released weights. Artificial Analysis Cyber Index as charted by Mistral; the post’s text rounds to 51%. https://mistral.ai/news/mistral-large-4-oss/ |
| Harmful cyber requests (Mistral refusal average) | 96.6%unknown effort | All 1 recorded result & sources96.6% · raw 96.6 % Headline · unknown effort · Own vendor Source/record date: 2026-10-29 Mistral’s 29 October chart for the released weights. Average refusal on the cyber-related prompts of JailbreakBench, StrongREJECT and AgentHarm. https://mistral.ai/news/mistral-large-4-oss/ |
| FinWorkBench (Finch) | 73.3%unknown effort | All 1 recorded result & sources73.3% · raw 73.3 % Headline · unknown effort · Own vendor Source/record date: 2026-10-29 Mistral’s 29 October chart for the released weights. https://mistral.ai/news/mistral-large-4-oss/ |
| BrowseComp | 84.5%unknown effort | All 1 recorded result & sources84.5% · raw 84.5 % Headline · unknown effort · Own vendor Source/record date: 2026-10-29 Mistral’s 29 October chart for the released weights. https://mistral.ai/news/mistral-large-4-oss/ |
| B3 Agent Security (attack resistance) | 97.1%unknown effort | All 1 recorded result & sources97.1% · raw 97.1 % Headline · unknown effort · Own vendor Source/record date: 2026-10-29 Mistral’s 29 October chart for the released weights. https://mistral.ai/news/mistral-large-4-oss/ |
| AA Coding Agent Index (vendor-reported) | 48%high effort | All 2 recorded results & sources48% · raw 48 % Headline · high effort · Own vendor Source/record date: 2026-10-29 Mistral’s chart of Artificial Analysis Coding Agent Index scores, “Mistral Large 4 - High”. The model card also cites 48%. https://mistral.ai/news/mistral-large-4-oss/35% · raw 35 % Alternative · medium effort · Own vendor Source/record date: 2026-10-29 Mistral’s chart of Artificial Analysis Coding Agent Index scores, “Mistral Large 4 - Medium”. https://mistral.ai/news/mistral-large-4-oss/ |
| AA Intelligence Index v5.0 (vendor-cited) | 26unknown effort | All 1 recorded result & sources26 · raw 26 index Headline · unknown effort · Own vendor Source/record date: 2026-10-29 Artificial Analysis Intelligence Index v5 as cited on Mistral’s model card. https://huggingface.co/mistralai/Mistral-Large-4-1T-A52B |
| Surge Code win rate vs GLM-5.3 (Mistral chart) | 64%unknown effort | All 1 recorded result & sources64% · raw 64 % Headline · unknown effort · Own vendor Source/record date: 2026-10-29 Mistral’s Surge Code chart: share of prompts where graders preferred Mistral Large 4 over GLM-5.3. https://mistral.ai/news/mistral-large-4-oss/ |
| Surge Code win rate vs Kimi K3 (Mistral chart) | 64%unknown effort | All 1 recorded result & sources64% · raw 64 % Headline · unknown effort · Own vendor Source/record date: 2026-10-29 Mistral’s Surge Code chart: share of prompts where graders preferred Mistral Large 4 over Kimi K3. https://mistral.ai/news/mistral-large-4-oss/ |
| Surge Code win rate vs DeepSeek V4.1 Flash (Mistral chart) | 56%unknown effort | All 1 recorded result & sources56% · raw 56 % Headline · unknown effort · Own vendor Source/record date: 2026-10-29 Mistral’s Surge Code chart: share of prompts where graders preferred Mistral Large 4 over DeepSeek V4.1 Flash. https://mistral.ai/news/mistral-large-4-oss/ |
| Surge Code win rate vs Claude Opus 5.5 (Mistral chart) | 22%unknown effort | All 1 recorded result & sources22% · raw 22 % Headline · unknown effort · Own vendor Source/record date: 2026-10-29 Mistral’s Surge Code chart: share of prompts where graders preferred Mistral Large 4 over Claude Opus 5.5. https://mistral.ai/news/mistral-large-4-oss/ |
Independent evaluators
Evaluator harnesses are distinct from vendor measurements. Missing coverage is not a failed test.
| Benchmark / evaluator | Headline score | Evidence |
|---|---|---|
| Coding Agent Index v2.0 · Artificial Analysis | 48high effort | All 2 recorded results & sources48 · raw 48 index Headline · high effort · Independent evaluator Source/record date: 2026-10-29 Harness: Mistral Vibe. Model-plus-agent measurement, not a bare-model score. AA labels this Mistral Large 4, not Preview, and Mistral's 29 October post gives 48% to the released weights. Moved 2026-11-01 from mistral-large-4. Manual observation of Artificial Analysis's public Coding Agents page, "Coding Agent Index v2.0" chart, 29 October 2026 (all 30 entries selected; rendered bar label paired with the x-axis entry label; research-raw/aa-v5-2026-10-29/cap_coding_agent_v2.txt). Configuration "Mistral Vibe - Mistral Large 4 (High)". AA's displayed rounding; no API, download, hidden precision or inferred run date. https://artificialanalysis.ai/agents/coding-agents35 · raw 35 index Alternative · medium effort · Independent evaluator Source/record date: 2026-10-29 Harness: Mistral Vibe. Model-plus-agent measurement, not a bare-model score. AA labels this Mistral Large 4, not Preview, and Mistral's 29 October post gives 48% to the released weights. Moved 2026-11-01 from mistral-large-4. Manual observation of Artificial Analysis's public Coding Agents page, "Coding Agent Index v2.0" chart, 29 October 2026 (all 30 entries selected; rendered bar label paired with the x-axis entry label; research-raw/aa-v5-2026-10-29/cap_coding_agent_v2.txt). Configuration "Mistral Vibe - Mistral Large 4 (Medium)". AA's displayed rounding; no API, download, hidden precision or inferred run date. https://artificialanalysis.ai/agents/coding-agents |
| Vals Index v2.2 · Vals AI | 56.420%high effort | All 1 recorded result & sources56.420% · raw 56.42 % Headline · high effort · Independent evaluator Source/record date: 2026-11-01 Vals exact model page https://www.vals.ai/models/mistralai_mistral-large-4-oss; source label Vals Index, 56.42%, published uncertainty ±1.26 percentage points. Vals calls this model Mistral Large 4 OSS, released 29 October 2026. Page defaults: effort high, temperature 1, top_p 0.95, max-output harness ceiling 256,000, 1M context; individual suites can override defaults. Model page defaults are not inferred vendor product limits. Run execution date unpublished. https://www.vals.ai/models/mistralai_mistral-large-4-oss |
| Vals Finance Index v1 · Vals AI | 56.180%high effort | All 1 recorded result & sources56.180% · raw 56.18 % Headline · high effort · Independent evaluator Source/record date: 2026-11-01 Vals exact model page https://www.vals.ai/models/mistralai_mistral-large-4-oss; source label Vals Finance Index, 56.18%, published uncertainty ±1.40 percentage points. Vals calls this model Mistral Large 4 OSS, released 29 October 2026. Page defaults: effort high, temperature 1, top_p 0.95, max-output harness ceiling 256,000, 1M context; individual suites can override defaults. Model page defaults are not inferred vendor product limits. Run execution date unpublished. https://www.vals.ai/models/mistralai_mistral-large-4-oss |
| Vals Legal Index v1 · Vals AI | 67.680%high effort | All 1 recorded result & sources67.680% · raw 67.68 % Headline · high effort · Independent evaluator Source/record date: 2026-11-01 Vals exact model page https://www.vals.ai/models/mistralai_mistral-large-4-oss; source label Vals Legal Index, 67.68%, published uncertainty ±1.70 percentage points. Vals calls this model Mistral Large 4 OSS, released 29 October 2026. Page defaults: effort high, temperature 1, top_p 0.95, max-output harness ceiling 256,000, 1M context; individual suites can override defaults. Model page defaults are not inferred vendor product limits. Run execution date unpublished. https://www.vals.ai/models/mistralai_mistral-large-4-oss |
| Excel Modeling Benchmark v1.1 · Vals AI | 68.670%high effort | All 1 recorded result & sources68.670% · raw 68.67 % Headline · high effort · Independent evaluator Source/record date: 2026-11-01 Vals exact model page https://www.vals.ai/models/mistralai_mistral-large-4-oss; source label EMB v1.1, 68.67%, published uncertainty ±2.43 percentage points. Vals calls this model Mistral Large 4 OSS, released 29 October 2026. Page defaults: effort high, temperature 1, top_p 0.95, max-output harness ceiling 256,000, 1M context; individual suites can override defaults. Model page defaults are not inferred vendor product limits. Run execution date unpublished. https://www.vals.ai/models/mistralai_mistral-large-4-oss |
| Finance Agent v2.1 · Vals AI | 61.720%high effort | All 1 recorded result & sources61.720% · raw 61.72 % Headline · high effort · Independent evaluator Source/record date: 2026-11-01 Vals exact model page https://www.vals.ai/models/mistralai_mistral-large-4-oss; source label Finance Agent v2.1, 61.72%, published uncertainty ±2.05 percentage points. Vals calls this model Mistral Large 4 OSS, released 29 October 2026. Page defaults: effort high, temperature 1, top_p 0.95, max-output harness ceiling 256,000, 1M context; individual suites can override defaults. Model page defaults are not inferred vendor product limits. Run execution date unpublished. https://www.vals.ai/models/mistralai_mistral-large-4-oss |
| Legal Research Bench · Vals AI | 35.580%high effort | All 1 recorded result & sources35.580% · raw 35.58 % Headline · high effort · Independent evaluator Source/record date: 2026-11-01 Vals exact model page https://www.vals.ai/models/mistralai_mistral-large-4-oss; source label Legal Research Bench, 35.58%, published uncertainty ±3.33 percentage points. Vals calls this model Mistral Large 4 OSS, released 29 October 2026. Page defaults: effort high, temperature 1, top_p 0.95, max-output harness ceiling 256,000, 1M context; individual suites can override defaults. Model page defaults are not inferred vendor product limits. Run execution date unpublished. https://www.vals.ai/models/mistralai_mistral-large-4-oss |
| Tax Agent Bench Accuracy (all-pass, citation-adjusted) · Vals AI | 27.330%high effort | All 1 recorded result & sources27.330% · raw 27.33 % Headline · high effort · Independent evaluator Source/record date: 2026-11-01 Vals exact model page https://www.vals.ai/models/mistralai_mistral-large-4-oss; source label Tax Agent Bench, 27.33%, published uncertainty ±2.95 percentage points. Vals calls this model Mistral Large 4 OSS, released 29 October 2026. Page defaults: effort high, temperature 1, top_p 0.95, max-output harness ceiling 256,000, 1M context; individual suites can override defaults. Model page defaults are not inferred vendor product limits. Run execution date unpublished. https://www.vals.ai/models/mistralai_mistral-large-4-oss |
| Vibe Code Bench v1.1 · Vals AI | 81.560%high effort | All 1 recorded result & sources81.560% · raw 81.56 % Headline · high effort · Independent evaluator Source/record date: 2026-11-01 Vals exact model page https://www.vals.ai/models/mistralai_mistral-large-4-oss; source label Vibe Code Bench v1.1, 81.56%, published uncertainty ±3.29 percentage points. Vals calls this model Mistral Large 4 OSS, released 29 October 2026. Page defaults: effort high, temperature 1, top_p 0.95, max-output harness ceiling 256,000, 1M context; individual suites can override defaults. Model page defaults are not inferred vendor product limits. Run execution date unpublished. Harness: OpenHands. https://www.vals.ai/models/mistralai_mistral-large-4-oss |
| HLAB v1.1 (Vals) · Task Pass Rate · Vals AI | 15.830%high effort | All 1 recorded result & sources15.830% · raw 15.83 % Headline · high effort · Independent evaluator Source/record date: 2026-11-01 Vals exact model page https://www.vals.ai/models/mistralai_mistral-large-4-oss; source label HLAB-Vals-1.1, 15.83%, published uncertainty ±3.13 percentage points. Vals calls this model Mistral Large 4 OSS, released 29 October 2026. Page defaults: effort high, temperature 1, top_p 0.95, max-output harness ceiling 256,000, 1M context; individual suites can override defaults. Model page defaults are not inferred vendor product limits. Run execution date unpublished. https://www.vals.ai/models/mistralai_mistral-large-4-oss |
| Terminal-Bench 4.0 · Vals AI | 26.260%high effort | All 1 recorded result & sources26.260% · raw 26.26 % Headline · high effort · Independent evaluator Source/record date: 2026-11-01 Vals exact model page https://www.vals.ai/models/mistralai_mistral-large-4-oss; source label Terminal-Bench 4.0, 26.26%, published uncertainty ±5.13 percentage points. Vals calls this model Mistral Large 4 OSS, released 29 October 2026. Page defaults: effort high, temperature 1, top_p 0.95, max-output harness ceiling 256,000, 1M context; individual suites can override defaults. Model page defaults are not inferred vendor product limits. Run execution date unpublished. Harness: Mini-SWE-agent. https://www.vals.ai/models/mistralai_mistral-large-4-oss |
| Vals Index v2.2 · Cost per task · Vals AI | $3.717/taskhigh effort | All 1 recorded result & sources$3.717/task · raw 3.717 USD/task Headline · high effort · Independent evaluator Source/record date: 2026-11-01 Publisher-displayed Vals Index mean cost per test; named Vals aggregate/harness only, not token pricing, subscription cost or provider entitlement. Suite run execution dates unpublished. https://www.vals.ai/models/mistralai_mistral-large-4-oss |
| Intelligence Index v5.0 · Artificial Analysis | 26high effort | All 1 recorded result & sources26 · raw 26 index Headline · high effort · Independent evaluator Source/record date: 2026-11-01 AA lists Mistral Large 4, Mistral Large 4 Preview and Mistral Large 4 (Medium) separately; this is “Mistral Large 4 (High)”. Mistral’s model card also cites 26. Manual observation of Artificial Analysis’s public model page, 1 November 2026. AA’s displayed rounding; no API, download, hidden precision or inferred run date. https://artificialanalysis.ai/models/mistral-large-4 |
| Cost per Intelligence Index v5.0 task · Artificial Analysis | $2.06/taskhigh effort | All 1 recorded result & sources$2.06/task · raw 2.06 USD/task Headline · high effort · Independent evaluator Source/record date: 2026-11-01 AA usage-priced cost per task at its list pricing; not an API tariff or invoice. Manual observation of Artificial Analysis’s public model page, 1 November 2026. AA’s displayed rounding; no API, download, hidden precision or inferred run date. https://artificialanalysis.ai/models/mistral-large-4 |
Read how we select and source scores or the comparison guide.