# Mistral Large 2 Benchmark Scores & Performance

> Mistral Large 2 by Mistral scores 28.35/100 overall, ranking #196 out of 954 AI models.

Canonical page: https://benchlm.ai/models/mistral-large-2

Last updated: October 17, 2026

## Model Details

| Property | Value |
|----------|-------|
| Creator | Mistral |
| Source Type | Proprietary |
| Reasoning Type | Non-Reasoning |
| Context Window | 128K |
| Overall Score | 28.35/100 |
| Overall Rank | #196 of 954 |

## Family & Coverage

- Family: Mistral Large 2
- Variant: base
- Benchmarks covered: 9 of 639
- Coverage note: BenchLM currently has partial benchmark coverage for this model, so the overall score is conservative.

## Agentic Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [τ²-bench results](/benchmarks/tau2-bench) | 30.7% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/mistral-large-2) |

## Reasoning Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [CritPt](/benchmarks/critpt) | 0.0% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/mistral-large-2) |

## Knowledge Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [Artificial Analysis Intelligence Index](/benchmarks/artificialanalysis) | 7.6% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/mistral-large-2) |
| [AA-GPQA Diamond](/benchmarks/gpqa-diamond) | 48.6% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/mistral-large-2) |
| [AA-HLE](/benchmarks/aahle) | 3.3% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/mistral-large-2) |
| [AA-Omniscience Index](/benchmarks/aaomniscienceindex) | -34.4% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/mistral-large-2) |
| [AA-Omniscience Accuracy](/benchmarks/omniscienceaccuracy) | 19.9% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/mistral-large-2) |
| [AA-Omniscience Hallucination Rate](/benchmarks/omnisciencehallucinationrate) | 67.7% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/mistral-large-2) |

## Instruction Following Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [AA-IFBench](/benchmarks/ifbench) | 31.2% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/mistral-large-2) |

## Other Mistral Models

- [Mistral Large 4](/models/mistral-large-4) - Score: 61.51
- [Mistral Small 4](/models/mistral-small-4) - Score: 34.71
- [Mistral Medium 3.5 128B](/models/mistral-medium-3-5-128b) - Score: 33.62
- [Mistral Large 3](/models/mistral-large-3) - Score: 33.48
- [Mistral Medium 3](/models/mistral-medium-3) - Score: 28.8
- [Ministral 3 14B](/models/ministral-3-14b) - Score: 24.94
- [Ministral 3 8B](/models/ministral-3-8b) - Score: 20.04
- [Ministral 3 3B](/models/ministral-3-3b) - Score: 18.88
- [Mixtral 8x22B Instruct v0.1](/models/mixtral-8x22b-instruct-v0-1) - Score: 18.17
- [Mistral 7B v0.3](/models/mistral-7b-v0-3) - Score: 7.2
- [Ministral 3 14B (Reasoning)](/models/ministral-3-14b-reasoning) - Score: not computed
- [Magistral Medium](/models/magistral-medium) - Score: not computed
- [Magistral Small](/models/magistral-small) - Score: not computed
- [Mistral Small 3.1](/models/mistral-small-3-1) - Score: not computed
- [Devstral Small](/models/devstral-small) - Score: not computed
- [Mistral 8x7B](/models/mistral-8x7b) - Score: not computed
- [Ministral 3 8B (Reasoning)](/models/ministral-3-8b-reasoning) - Score: not computed
- [Ministral 3 3B (Reasoning)](/models/ministral-3-3b-reasoning) - Score: not computed
- [Mistral 8x7B v0.2](/models/mistral-8x7b-v0-2) - Score: not computed
- [Leanstral 1.5](/models/leanstral-1-5) - Score: not computed
- [Leanstral](/models/leanstral) - Score: not computed
- [Mistral Small 4 (Reasoning)](/models/mistral-small-4-reasoning) - Score: not computed