Examenos

Official vendor benches · independent evaluators · OpenRouter pricing

Model profilesv fde9f28

Mistral Large 4

Explore Mistral Large 4 from Mistral AI: published specifications, source-linked vendor benchmarks, independent evaluator coverage and recorded pricing when available.

Latest versionPrevious version: Mistral Large 4 PreviewRelease source ↗ (opens in a new tab)

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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.

Recorded pricing tiers
TierInput / 1MOutput / 1MCached input / 1MCache write / 1MDate & 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.

Official / vendor headline scores; expand evidence for every record
Benchmark / evaluatorHeadline scoreEvidence
FrontierCode 2.019.7%unknown effort
All 1 recorded result & sources

19.7% · 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 4.041.4%unknown effort
All 1 recorded result & sources

41.4% · 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 & sources

50.9% · 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 & sources

96.6% · 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 & sources

73.3% · 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/
BrowseComp84.5%unknown effort
All 1 recorded result & sources

84.5% · 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 & sources

97.1% · 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 & sources

48% · 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 & sources

26 · 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 & sources

64% · 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 & sources

64% · 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 & sources

56% · 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 & sources

22% · 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.

Independent evaluator headline scores; expand evidence for every record
Benchmark / evaluatorHeadline scoreEvidence
Coding Agent Index v2.0 · Artificial Analysis48high effort
All 2 recorded results & sources

48 · 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-agents

35 · 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 AI56.420%high effort
All 1 recorded result & sources

56.420% · 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 AI56.180%high effort
All 1 recorded result & sources

56.180% · 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 AI67.680%high effort
All 1 recorded result & sources

67.680% · 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 AI68.670%high effort
All 1 recorded result & sources

68.670% · 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 AI61.720%high effort
All 1 recorded result & sources

61.720% · 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 AI35.580%high effort
All 1 recorded result & sources

35.580% · 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 AI27.330%high effort
All 1 recorded result & sources

27.330% · 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 AI81.560%high effort
All 1 recorded result & sources

81.560% · 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 AI15.830%high effort
All 1 recorded result & sources

15.830% · 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 AI26.260%high effort
All 1 recorded result & sources

26.260% · 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 Analysis26high effort
All 1 recorded result & sources

26 · 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.