Model comparison
Claude 2.1 vs Mistral Medium
Mistral Medium is the stronger model overall, scoring 36.3 to 25.2 on the Noometry Index.
Last verified . 4 shared benchmarks.
Mistral AISummary
- They share 4 benchmarks with published results for both. Claude 2.1 scores higher in 0 categories and Mistral Medium in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Medium leads 28.1 to 10.2.
- The biggest single-benchmark swing is WeirdML: 7.1% for Claude 2.1 and 43.7% for Mistral Medium.
- Mistral Medium has downloadable open weights; the other is API-only.
Side by side
| Claude 2.1 | Mistral Medium | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 25.2 | 36.3 |
| Released | 2023-11-21 | 2023-12-11 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 262K |
| Input $ / M tokens | — | $1.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 7 | 36 |
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Category by category
Coding Mistral Medium leads
Claude 2.1: 26.2 (#327), Mistral Medium: 34.2 (#243)
| Benchmark | Claude 2.1 | Mistral Medium |
|---|---|---|
| WeirdML | 7.1% | 43.7% |
| FrontierCode | — | 8% |
| SciCode | — | 40.2% |
| LMArena Coding | — | 1434 |
| ALE-Bench | — | 763.98 |
Agentic & Tool Use Not comparable
Claude 2.1: —, Mistral Medium: 28.3 (#90)
| Benchmark | Claude 2.1 | Mistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.7% |
Reasoning Mistral Medium leads
Claude 2.1: 21.4 (#221), Mistral Medium: 24.0 (#167)
| Benchmark | Claude 2.1 | Mistral Medium |
|---|---|---|
| DTBench | 51% | 75.5% |
| Kagi LLM Benchmark | — | 50% |
| CritPt | — | 0% |
| LMArena Hard Prompts | — | 1426 |
| LMCA | — | 26.1% |
| Surface Evolver Bench | — | 26.9% |
| Epoch Capabilities Index | 119.27 | — |
| ForecastBench | 54.2 | — |
Math Mistral Medium leads
Claude 2.1: 10.2 (#315), Mistral Medium: 28.1 (#245)
| Benchmark | Claude 2.1 | Mistral Medium |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.9% | 32.2% |
| ProofBench | — | 9% |
| LMArena Math | — | 1408 |
| MATH Level 5 | — | 81.6% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Mistral Medium leads
Claude 2.1: 15.4 (#292), Mistral Medium: 25.0 (#265)
| Benchmark | Claude 2.1 | Mistral Medium |
|---|---|---|
| GPQA Diamond | 33% | 59.5% |
| Humanity's Last Exam | — | 4.5% |
| Vectara Hallucination Rate | — | 22.7% |
| LMArena Expert | — | 1408 |
| MMLU | 73.5% | — |
Multimodal Not comparable
Claude 2.1: —, Mistral Medium: 35.3 (#88)
| Benchmark | Claude 2.1 | Mistral Medium |
|---|---|---|
| LMArena Vision | — | 1172 |
Multilingual Not comparable
Claude 2.1: —, Mistral Medium: 52.1 (#91)
| Benchmark | Claude 2.1 | Mistral Medium |
|---|---|---|
| LMArena Non-English | — | 1408 |
| LMArena Chinese | — | 1447 |
| LMArena French | — | 1459 |
| LMArena German | — | 1432 |
| LMArena Japanese | — | 1378 |
| LMArena Korean | — | 1380 |
| LMArena Russian | — | 1411 |
| LMArena Spanish | — | 1433 |
Instruction Following Not comparable
Claude 2.1: —, Mistral Medium: 73.7 (#116)
| Benchmark | Claude 2.1 | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | — | 1398 |
Long Context Not comparable
Claude 2.1: —, Mistral Medium: 42.9 (#114)
| Benchmark | Claude 2.1 | Mistral Medium |
|---|---|---|
| LMArena Longer Query | — | 1406 |
Writing & Preference Not comparable
Claude 2.1: —, Mistral Medium: 60.0 (#103)
| Benchmark | Claude 2.1 | Mistral Medium |
|---|---|---|
| LMArena Text | — | 1424 |
| LMArena Creative Writing | — | 1391 |
| Short-Story Creative Writing | — | 77.3% |
| LMArena Multi-Turn | — | 1418 |
Frequently asked questions
Is Claude 2.1 better than Mistral Medium?
Mistral Medium is the stronger model overall, scoring 36.3 to 25.2 on the Noometry Index.
Is Claude 2.1 or Mistral Medium better for coding?
Mistral Medium scores higher on coding benchmarks: 34.2 versus 26.2 in the Noometry coding category.
How many benchmarks do Claude 2.1 and Mistral Medium share?
4 benchmarks have published results for both models. Claude 2.1 has 7 scored results on Noometry and Mistral Medium has 36.