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Model profile

Mistral Large 2

MistralEstablishedReleased Jul 24, 2024
Data verified
Overall Score
41.77Public #163 of 200
Arena Elo
1305
Eligible category ranks
0of 8
Price (1M tokens)
Not listedAPI pricing
Speed
38tok/s
Context
128K

Evidence coverage

11 of 321 tracked benchmarks are published. 0 are verified and 11 provisional. 5 of 8 categories are measured.

Updated July 20, 2026Methodology
Published / tracked
11 / 321
Verified
0
Provisional
11
Categories with evidence
5 / 8

Evidence by category

  • Agentic1 benchmark
    Reported
  • Coding1 benchmark
    Reported
  • Reasoning2 benchmarks
    Reported
  • Knowledge6 benchmarks
    Reported
  • Math0 benchmarks
    Not measured
  • Multilingual0 benchmarks
    Not measured
  • Multimodal0 benchmarks
    Not measured
  • Inst. Following1 benchmark
    Reported
ProprietaryNon-Reasoning
Confidence:
Low
base

Mistral Large 2 ranks #163 out of 200 models on the public leaderboard with an overall score of 41.77/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.

Mistral Large 2 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 11 of 321 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.

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 41.1342.06

  1. GPT-4.1 nano
    OpenAI
    #16142.06
    GPT-4.1 nano is #161 with a score of 42.06.
    Compare
  2. Gemma 4 E2B
    Google
    #16241.82
    Gemma 4 E2B is #162 with a score of 41.82.
    Compare
  3. Mistral Large 2Current model
    Mistral
    #16341.77
    Mistral Large 2 is #163 with a score of 41.77.
  4. Gemma 3 27B
    Google
    #16441.57
    Gemma 3 27B is #164 with a score of 41.57.
    Compare
  5. GPT-4o
    OpenAI
    #16541.49
    GPT-4o is #165 with a score of 41.49.
    Compare
  6. LFM2.5-8B-A1B
    LiquidAI
    #16641.42
    LFM2.5-8B-A1B is #166 with a score of 41.42.
    Compare
  7. Claude 3 Opus
    Anthropic
    #16841.13
    Claude 3 Opus is #168 with a score of 41.13.
    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.

No eligible category percentile is available from the published evidence yet.

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 Not rankedWeight 22%1 benchmarkReported52.3
CodingRank Not rankedWeight 20%1 benchmarkReported41.7
ReasoningRank Not rankedWeight 17%2 benchmarksReported66.9
KnowledgeRank Not rankedWeight 12%6 benchmarksReported44.2
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingRank Not rankedWeight 5%1 benchmarkReported83.0

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 Overall1305±4.428,073
Coding1346±8.94,212
Math1282±9.33,574
Instruction Following1295±6.110,971
Creative Writing1276±9.14,439
Multi-turn1293±9.04,438
Hard Prompts1313±7.06,954
Hard Prompts (English)1324±8.64,452
Longer Query1305±9.63,607

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.

Agentic1 benchmark
τ²-bench resultsReported

τ²-Bench Tool-Agent-User Evaluation

30.7%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.
Coding1 benchmark
AA-SciCodeReported

Artificial Analysis SciCode

29.2%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

5.3%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
9.2%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.
AA-GPQA DiamondReported

Artificial Analysis GPQA Diamond

48.6%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.
AA-HLEReported

Artificial Analysis Humanity's Last Exam

4.0%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-Omniscience IndexReported

Artificial Analysis Omniscience Index

-34.0%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-Omniscience AccuracyReported

Artificial Analysis Omniscience Accuracy

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-Omniscience Hallucination RateReported

Artificial Analysis Omniscience Hallucination Rate

67.8%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

31.2%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 2 perform overall in AI benchmarks?

Mistral Large 2 has 11 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.

Is Mistral Large 2 good for knowledge and understanding?

Mistral Large 2 has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.

Is Mistral Large 2 good for coding and programming?

Mistral Large 2 has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.

Is Mistral Large 2 good for reasoning and logic?

Mistral Large 2 has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.

Is Mistral Large 2 good for agentic tool use and computer tasks?

Mistral Large 2 has visible benchmark coverage in agentic tool use and computer tasks, but BenchLM does not currently assign it a global category rank there.

Is Mistral Large 2 good for instruction following?

Mistral Large 2 has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.

Does Mistral Large 2 have full benchmark coverage on BenchLM?

Not yet. Mistral Large 2 currently has 11 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 2?

Mistral Large 2 has a published context window of 128K, which determines how much text it can process in a single interaction.

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

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