Model comparison
Gemini 2.0 Flash (Feb 2025) vs Mistral Medium
Mistral Medium is the stronger model overall, scoring 36.0 to 34.8 on the Noometry Index.
Last verified . 27 shared benchmarks.
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Mistral AISummary
- They share 27 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 4 categories and Mistral Medium in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Medium leads 60.2 to 49.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 57.8% for Gemini 2.0 Flash (Feb 2025) and 32.2% for Mistral Medium.
- Mistral Medium has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.0 Flash (Feb 2025) | Mistral Medium | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 34.8 | 36.0 |
| Released | 2024-12-06 | 2023-12-11 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 262K |
| Input $ / M tokens | — | $1.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 54 | 36 |
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Category by category
Coding Mistral Medium leads
Gemini 2.0 Flash (Feb 2025): 28.2 (#308), Mistral Medium: 33.8 (#241)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mistral Medium |
|---|---|---|
| WeirdML | 25.8% | 43.7% |
| LMArena Coding | 1351 | 1434 |
| FrontierCode | — | 8% |
| SWE-bench Verified (bash only) | 13.5% | — |
| Aider Polyglot | 38.2% | — |
| SciCode | — | 40.2% |
| BigCodeBench Instruct | 45.9% | — |
| LiveBench Coding | 63.4% | — |
| BigCodeBench Complete | 59.9% | — |
| CadEval | 30% | — |
| ALE-Bench | — | 763.98 |
Agentic & Tool Use Too close to call
Gemini 2.0 Flash (Feb 2025): 28.0 (#85), Mistral Medium: 28.1 (#84)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.7% |
| TheAgentCompany | 11.4% | — |
Reasoning Mistral Medium leads
Gemini 2.0 Flash (Feb 2025): 15.2 (#308), Mistral Medium: 23.3 (#165)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mistral Medium |
|---|---|---|
| Kagi LLM Benchmark | 37.8% | 50% |
| LMArena Hard Prompts | 1346 | 1426 |
| DTBench | 63.2% | 75.5% |
| ARC-AGI-2 | 1.3% | — |
| SimpleBench | 31.1% | — |
| CritPt | — | 0% |
| EnigmaEval | 1.1% | — |
| LiveBench Reasoning | 78.2% | — |
| LiveBench Data Analysis | 69.4% | — |
| LMCA | — | 26.1% |
| Surface Evolver Bench | — | 26.9% |
| Epoch Capabilities Index | 135.36 | — |
| LiveBench | 66.9% | — |
Math Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 36.1 (#127), Mistral Medium: 27.2 (#238)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mistral Medium |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 32.2% |
| LMArena Math | 1351 | 1409 |
| MATH Level 5 | 82.2% | 81.6% |
| FrontierMath (Feb 2025 set) | 1.7% | 0.3% |
| ProofBench | — | 9% |
| Omni-MATH | 45.9% | — |
| LiveBench Math | 75.8% | — |
Knowledge Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 32.0 (#207), Mistral Medium: 24.9 (#260)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mistral Medium |
|---|---|---|
| GPQA Diamond | 64.1% | 59.5% |
| Humanity's Last Exam | 6.6% | 4.5% |
| LMArena Expert | 1340 | 1408 |
| MMLU-Pro | 73.7% | — |
| Confabulations | 12.4% | — |
| Vectara Hallucination Rate | — | 22.7% |
| GPQA (HELM) | 55.6% | — |
| MMLU | 79.7% | — |
Multimodal Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 35.9 (#74), Mistral Medium: 34.6 (#82)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mistral Medium |
|---|---|---|
| LMArena Vision | 1158 | 1172 |
| GeoBench | 77% | — |
Multilingual Mistral Medium leads
Gemini 2.0 Flash (Feb 2025): 47.6 (#144), Mistral Medium: 52.3 (#86)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mistral Medium |
|---|---|---|
| LMArena Non-English | 1342 | 1408 |
| LMArena Chinese | 1373 | 1448 |
| LMArena French | 1390 | 1460 |
| LMArena German | 1354 | 1433 |
| LMArena Japanese | 1293 | 1378 |
| LMArena Korean | 1314 | 1382 |
| LMArena Russian | 1351 | 1411 |
| LMArena Spanish | 1363 | 1433 |
Instruction Following Too close to call
Gemini 2.0 Flash (Feb 2025): 74.6 (#91), Mistral Medium: 73.9 (#111)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | 1336 | 1398 |
| LiveBench Instruction Following | 85.8% | — |
| IFEval | 84.1% | — |
Long Context Mistral Medium leads
Gemini 2.0 Flash (Feb 2025): 38.1 (#198), Mistral Medium: 42.9 (#108)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mistral Medium |
|---|---|---|
| LMArena Longer Query | 1345 | 1406 |
| Fiction.LiveBench | 61.1% | — |
Writing & Preference Mistral Medium leads
Gemini 2.0 Flash (Feb 2025): 49.8 (#184), Mistral Medium: 60.2 (#97)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mistral Medium |
|---|---|---|
| LMArena Text | 1354 | 1424 |
| LMArena Creative Writing | 1340 | 1391 |
| Short-Story Creative Writing | 73.8% | 77.3% |
| LMArena Multi-Turn | 1350 | 1418 |
| EQ-Bench Creative Writing | 1128 | — |
| WildBench | 80% | — |
| LiveBench Language | 51.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash (Feb 2025) better than Mistral Medium?
Mistral Medium is the stronger model overall, scoring 36.0 to 34.8 on the Noometry Index.
Is Gemini 2.0 Flash (Feb 2025) or Mistral Medium better for coding?
Mistral Medium scores higher on coding benchmarks: 33.8 versus 28.2 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash (Feb 2025) and Mistral Medium share?
27 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and Mistral Medium has 36.