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Model profile

Mistral Large 3

MistralEstablishedReleased Dec 2, 2025
Data verified
Overall Score
50.4Public #113 of 200Verified #62 of 99
Arena Elo
1416
Eligible category ranks
2of 8
Price (1M tokens)
$0.5 in / $1.5 out
API pricing
Speed
48tok/s
Context
128K

Evidence coverage

16 of 321 tracked benchmarks are published. 0 are verified and 16 provisional. 6 of 8 categories are measured.

Updated July 20, 2026Methodology
Published / tracked
16 / 321
Verified
0
Provisional
16
Categories with evidence
6 / 8

Evidence by category

  • Agentic4 benchmarks
    Reported
  • Coding2 benchmarks
    Reported
  • Reasoning2 benchmarks
    Reported
  • Knowledge6 benchmarks
    Reported
  • Math0 benchmarks
    Not measured
  • Multilingual0 benchmarks
    Not measured
  • Multimodal1 benchmark
    Reported
  • Inst. Following1 benchmark
    Reported
ProprietarySelf-hostNon-Reasoning
Confidence:
Low
base

Mistral Large 3 ranks #113 out of 200 models on the public leaderboard with an overall score of 50.4/100. It also ranks #62 out of 99 on the verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.

Mistral Large 3 is a proprietary model with a 128K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.

This profile currently has 16 of 321 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.

Its strongest category is Agentic (#84), while its weakest is Coding (#117). This performance profile makes it particularly useful for coding agents, browser research, and computer-use workflows.

Peer position

Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.

Range 49.98–50.82

  1. Llama 3 70B
    Meta
    #11250.82
    Llama 3 70B is #112 with a score of 50.82.
    Compare
  2. Mistral Large 3Current model
    Mistral
    #11350.4
    Mistral Large 3 is #113 with a score of 50.4.
  3. DeepSeek Coder 2.0
    DeepSeek
    #11450.28
    DeepSeek Coder 2.0 is #114 with a score of 50.28.
    Compare
  4. Seed 1.6
    ByteDance
    #11550.23
    Seed 1.6 is #115 with a score of 50.23.
    Compare
  5. GPT-OSS 120B
    OpenAI
    #11650.08
    GPT-OSS 120B is #116 with a score of 50.08.
    Compare
  6. Nemotron 3 Super 100B
    NVIDIA
    #11750.08
    Nemotron 3 Super 100B is #117 with a score of 50.08.
    Compare
  7. o4-mini (high)
    OpenAI
    #11849.98
    o4-mini (high) is #118 with a score of 49.98.
    Compare

Category percentile

More

Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.

  1. Agentic30%
    Eligible cohort rank #84 of 119Category score 43.1
  2. Coding4%
    Eligible cohort rank #117 of 122Category score 31.0

Category evidence

Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank #84 of 119Percentile 30thWeight 22%4 benchmarksReported43.1
CodingRank #117 of 122Percentile 4thWeight 20%2 benchmarksReported31.0
ReasoningRank Not rankedWeight 17%2 benchmarksReported67.0
KnowledgeRank Not rankedWeight 12%6 benchmarksReported38.2
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalRank Not rankedWeight 12%1 benchmarkReported75.4
Inst. FollowingRank Not rankedWeight 5%1 benchmarkReported76.4

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

Mistral Large 3
API / mo$1,500
Self-host / mo$9,110
Break-even380M/day
Model the full break-even

Chatbot Arena performance

Scroll horizontally to inspect confidence intervals and vote counts.

Chatbot Arena Elo, confidence interval, and vote count by evaluation view
ViewEloConfidence intervalVotes
Text Overall1416±3.548,922
Coding1467±6.011,554
Math1403±10.93,026
Instruction Following1404±5.614,141
Creative Writing1376±7.47,602
Multi-turn1420±6.98,438
Hard Prompts1433±4.428,015
Hard Prompts (English)1441±5.813,500
Longer Query1417±5.614,990

Benchmark Details

Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.

Agentic4 benchmarks
AA Agentic IndexReported

Artificial Analysis Agentic Index

5.5%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
τ²-bench resultsReported

τ²-Bench Tool-Agent-User Evaluation

24.6%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
GDPval-AAReported

GDPval-AA normalized

6.6%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
GDPval-AAReported
633Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Coding2 benchmarks
AA Coding IndexReported

Artificial Analysis Coding Index

20.1%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-SciCodeReported

Artificial Analysis SciCode

36.2%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Reasoning2 benchmarks
AA-LCRReported

Artificial Analysis Long Context Reasoning

34.7%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
CritPtReported

Critical Physics Tasks

0.0%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Knowledge6 benchmarks
Artificial Analysis Intelligence IndexReported
15.9%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-GPQA DiamondReported

Artificial Analysis GPQA Diamond

68.0%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-HLEReported

Artificial Analysis Humanity's Last Exam

4.1%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-Omniscience IndexReported

Artificial Analysis Omniscience Index

-39.4%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-Omniscience AccuracyReported

Artificial Analysis Omniscience Accuracy

24.1%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-Omniscience Hallucination RateReported

Artificial Analysis Omniscience Hallucination Rate

83.7%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Multimodal1 benchmark
AA-MMMU-ProReported

Artificial Analysis MMMU-Pro

55.7%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Inst. Following1 benchmark
AA-IFBenchReported

Artificial Analysis IFBench

36.2%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.

Frequently Asked Questions

How does Mistral Large 3 perform overall in AI benchmarks?

Mistral Large 3 has 16 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.

Is Mistral Large 3 good for knowledge and understanding?

Mistral Large 3 has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.

Is Mistral Large 3 good for coding and programming?

Mistral Large 3 ranks #117 out of 122 models in coding and programming benchmarks with an average score of 31. There are stronger options in this category.

Is Mistral Large 3 good for reasoning and logic?

Mistral Large 3 has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.

Is Mistral Large 3 good for agentic tool use and computer tasks?

Mistral Large 3 ranks #84 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 43.1. There are stronger options in this category.

Is Mistral Large 3 good for multimodal and grounded tasks?

Mistral Large 3 has visible benchmark coverage in multimodal and grounded tasks, but BenchLM does not currently assign it a global category rank there.

Is Mistral Large 3 good for instruction following?

Mistral Large 3 has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.

Does Mistral Large 3 have full benchmark coverage on BenchLM?

Not yet. Mistral Large 3 currently has 16 published benchmark scores out of the 321 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of Mistral Large 3?

Mistral Large 3 has a published context window of 128K, which determines how much text it can process in a single interaction.

Related Resources

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Last updated: July 20, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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