Model comparison
Claude 2.1 vs Mistral Large
Mistral Large is the stronger model overall, scoring 31.9 to 25.2 on the Noometry Index.
Last verified . 6 shared benchmarks.
Summary
- They share 6 benchmarks with published results for both. Claude 2.1 scores higher in 1 category and Mistral Large in 3 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Mistral Large leads 30.1 to 15.4.
- The biggest single-benchmark swing is GPQA Diamond: 33% for Claude 2.1 and 51.3% for Mistral Large.
- Mistral Large has downloadable open weights; the other is API-only.
Side by side
| Claude 2.1 | Mistral Large | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 25.2 | 31.9 |
| Released | 2023-11-21 | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 7 | 51 |
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Category by category
Coding Mistral Large leads
Claude 2.1: 26.2 (#327), Mistral Large: 34.3 (#240)
| Benchmark | Claude 2.1 | Mistral Large |
|---|---|---|
| SciCode | — | 36.2% |
| WeirdML | 7.1% | — |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| LMArena Coding | — | 1277 |
| BigCodeBench Complete | — | 38.3% |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |
Agentic & Tool Use Not comparable
Claude 2.1: —, Mistral Large: 28.6 (#89)
| Benchmark | Claude 2.1 | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |
Reasoning Claude 2.1 leads
Claude 2.1: 21.4 (#221), Mistral Large: 15.8 (#310)
| Benchmark | Claude 2.1 | Mistral Large |
|---|---|---|
| DTBench | 51% | 65.1% |
| Epoch Capabilities Index | 119.27 | 128.52 |
| ForecastBench | 54.2 | 57.1 |
| SimpleBench | — | 22.5% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 43.5% |
| LMArena Hard Prompts | — | 1257 |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| LiveBench | — | 48.4% |
Math Mistral Large leads
Claude 2.1: 10.2 (#315), Mistral Large: 18.2 (#291)
| Benchmark | Claude 2.1 | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.9% | 8.5% |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| LMArena Math | — | 1262 |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Mistral Large leads
Claude 2.1: 15.4 (#292), Mistral Large: 30.1 (#230)
| Benchmark | Claude 2.1 | Mistral Large |
|---|---|---|
| GPQA Diamond | 33% | 51.3% |
| MMLU | 73.5% | 80% |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| LMArena Expert | — | 1232 |
Multilingual Not comparable
Claude 2.1: —, Mistral Large: 40.0 (#219)
| Benchmark | Claude 2.1 | Mistral Large |
|---|---|---|
| LMArena Non-English | — | 1237 |
| LMArena Chinese | — | 1240 |
| LMArena French | — | 1325 |
| LMArena German | — | 1254 |
| LMArena Japanese | — | 1188 |
| LMArena Korean | — | 1202 |
| LMArena Russian | — | 1257 |
| LMArena Spanish | — | 1268 |
Instruction Following Not comparable
Claude 2.1: —, Mistral Large: 67.9 (#191)
| Benchmark | Claude 2.1 | Mistral Large |
|---|---|---|
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |
| LMArena Instruction Following | — | 1249 |
Long Context Not comparable
Claude 2.1: —, Mistral Large: 38.3 (#199)
| Benchmark | Claude 2.1 | Mistral Large |
|---|---|---|
| LMArena Longer Query | — | 1261 |
Writing & Preference Not comparable
Claude 2.1: —, Mistral Large: 40.7 (#242)
| Benchmark | Claude 2.1 | Mistral Large |
|---|---|---|
| LMArena Text | — | 1266 |
| LMArena Creative Writing | — | 1243 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LMArena Multi-Turn | — | 1260 |
| LiveBench Language | — | 39.4% |
Frequently asked questions
Is Claude 2.1 better than Mistral Large?
Mistral Large is the stronger model overall, scoring 31.9 to 25.2 on the Noometry Index.
Is Claude 2.1 or Mistral Large better for coding?
Mistral Large scores higher on coding benchmarks: 34.3 versus 26.2 in the Noometry coding category.
How many benchmarks do Claude 2.1 and Mistral Large share?
6 benchmarks have published results for both models. Claude 2.1 has 7 scored results on Noometry and Mistral Large has 51.