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aiqbench

Mistral AI · model passport

Mistral Large 2407

mistral-large-2407
  • Open weights
  • Mistral Research licence
  • 131,072 context
  • Released 2024-07-01(from model name)
8/27axes covered
Overall · LMArena
1,314#249 of 396
Best percentile
39.9LiveBench
Cohort standing
37.1median 36.2

What the data says

Benchmarked on 8 of 27 tracked axes. Every figure below is the model's own published result on that board.

Weakest axes

  • 10.3 pct — SimpleBench (22.5%)

Uneven: 29.6 percentile points between its best and worst axis — 39.9 pct on LiveBench versus 10.3 pct on SimpleBench.

  • LiveBench39.9 pct48.3%Verify →
  • Instruction following38.4 pct1,299Verify →
  • Overall37.4 pct1,314Verify →
  • Coding37.1 pct1,354Verify →
  • Hard prompts37.1 pct1,320Verify →
  • GPQA Diamond33 pct49.0%Verify →
  • AIME (math)24.5 pct8.5%Verify →
  • SimpleBench10.3 pct22.5%Verify →
  • WebDev ArenaNot benchmarked
  • Vision ArenaNot benchmarked
  • Factuality ArenaNot benchmarked
  • Search ArenaNot benchmarked
  • Document ArenaNot benchmarked
  • Agent ArenaNot benchmarked
  • FrontierMathNot benchmarked
  • SimpleQA VerifiedNot benchmarked
  • ARC-AGI-2Not benchmarked
  • Humanity's Last ExamNot benchmarked
  • BFCL v4 (function calling)Not benchmarked
  • SWE-bench Verified (live board)Not benchmarked
  • Terminal-Bench 4.0Not benchmarked
  • MMLU-Pro (Artificial Analysis)Not benchmarked
  • LiveCodeBench (Artificial Analysis)Not benchmarked
  • IFBench (Artificial Analysis)Not benchmarked
  • HHEM Hallucination (Vectara)Not benchmarked
  • SWE-bench VerifiedNot benchmarked
  • Terminal-BenchNot benchmarked

Percentiles are the model's standing within each board's own population. Axes marked "not benchmarked" have no published result for this model — that is an absence of data, not a low score.

How to run it

Use it hosted

API model IDmistralai/mistral-large-2407
Context length131,072 tokens
Max output104,857 tokens
Acceptstext, file
Input price$2 per 1M tokens
Cached input price$0.20 per 1M tokens
Output price$6 per 1M tokens

API parameters this endpoint supports

Frequency penaltyMax tokensPresence penaltyResponse formatSeedStop sequencesStructured outputsTemperatureTool choiceTool callingTop-p

Example request

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"mistralai/mistral-large-2407","messages":[{"role":"user","content":"Hello"}]}'

View on OpenRouter →

Identifiers, limits and prices are synced from the upstream source shown above. Any field we haven't synced is left out entirely rather than guessed.

  • mistral-large-2407 stands at 37.1 (raw mean 32.2) — measured on 8 of 27 axes.

    standingtemplateVerify →

  • mistral-large-2407 stands at 37.1 versus a cohort median of 36.2 across 129 models released within 180 days — above the peer median.

    cohorttemplateVerify →

Every claim is a computed fact from the current board data, phrased by a low-temperature model call and rejected by a validation gate if any number is not in the source row. How the leaderboards work →