Model comparison
Gemini 2.5 Flash vs Mistral Medium
Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 36.3 on the Noometry Index.
Last verified . 30 shared benchmarks.
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Mistral AISummary
- They share 30 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 8 categories and Mistral Medium in 2 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.5 Flash leads 39.9 to 28.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 73.1% for Gemini 2.5 Flash and 32.2% for Mistral Medium.
- Gemini 2.5 Flash is cheaper at $0.30 / $2.50 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium.
- Gemini 2.5 Flash accepts more context: 1.05M tokens versus 262K.
- Mistral Medium has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash | Mistral Medium | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 39.3 | 36.3 |
| Released | 2025-04-17 | 2023-12-11 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 262K |
| Input $ / M tokens | $0.30 | $1.50 |
| Output $ / M tokens | $2.50 | $7.50 |
| Results tracked | 54 | 36 |
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Category by category
Coding Gemini 2.5 Flash leads
Gemini 2.5 Flash: 35.8 (#220), Mistral Medium: 34.2 (#243)
| Benchmark | Gemini 2.5 Flash | Mistral Medium |
|---|---|---|
| WeirdML | 41.9% | 43.7% |
| LMArena Coding | 1424 | 1434 |
| ALE-Bench | 661.88 | 763.98 |
| FrontierCode | — | 8% |
| SWE-bench Verified (bash only) | 28.7% | — |
| Aider Polyglot | 55.1% | — |
| SciCode | — | 40.2% |
Agentic & Tool Use Gemini 2.5 Flash leads
Gemini 2.5 Flash: 30.8 (#74), Mistral Medium: 28.3 (#90)
| Benchmark | Gemini 2.5 Flash | Mistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | 56.2% | 37.7% |
| Terminal-Bench | 17.1% | — |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| Vending-Bench 2 | 548.84 | — |
Reasoning Mistral Medium leads
Gemini 2.5 Flash: 18.1 (#286), Mistral Medium: 24.0 (#167)
| Benchmark | Gemini 2.5 Flash | Mistral Medium |
|---|---|---|
| Kagi LLM Benchmark | 56.8% | 50% |
| CritPt | 1.1% | 0% |
| LMArena Hard Prompts | 1422 | 1426 |
| DTBench | 76.5% | 75.5% |
| LMCA | 27.5% | 26.1% |
| ARC-AGI-2 | 2.5% | — |
| SimpleBench | 41.2% | — |
| ARC-AGI-1 | 33.3% | — |
| EnigmaEval | 2.7% | — |
| Surface Evolver Bench | — | 26.9% |
| Epoch Capabilities Index | 143.03 | — |
| ForecastBench | 60.6 | — |
Math Gemini 2.5 Flash leads
Gemini 2.5 Flash: 39.9 (#98), Mistral Medium: 28.1 (#245)
| Benchmark | Gemini 2.5 Flash | Mistral Medium |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 73.1% | 32.2% |
| LMArena Math | 1415 | 1408 |
| FrontierMath (Feb 2025 set) | 4.8% | 0.3% |
| ProofBench | — | 9% |
| Omni-MATH | 38.5% | — |
| MATH Level 5 | — | 81.6% |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Gemini 2.5 Flash leads
Gemini 2.5 Flash: 36.4 (#168), Mistral Medium: 25.0 (#265)
| Benchmark | Gemini 2.5 Flash | Mistral Medium |
|---|---|---|
| Humanity's Last Exam | 12.1% | 4.5% |
| Vectara Hallucination Rate | 7.8% | 22.7% |
| LMArena Expert | 1426 | 1408 |
| GPQA Diamond | — | 59.5% |
| MMLU-Pro | 63.9% | — |
| Confabulations | 16.8% | — |
| GPQA (HELM) | 39% | — |
Multimodal Gemini 2.5 Flash leads
Gemini 2.5 Flash: 41.8 (#32), Mistral Medium: 35.3 (#88)
| Benchmark | Gemini 2.5 Flash | Mistral Medium |
|---|---|---|
| LMArena Vision | 1253 | 1172 |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| SpatialViz-Bench | 36.9% | — |
Multilingual Too close to call
Gemini 2.5 Flash: 52.3 (#88), Mistral Medium: 52.1 (#91)
| Benchmark | Gemini 2.5 Flash | Mistral Medium |
|---|---|---|
| LMArena Non-English | 1409 | 1408 |
| LMArena Chinese | 1450 | 1447 |
| LMArena French | 1433 | 1459 |
| LMArena German | 1418 | 1432 |
| LMArena Japanese | 1405 | 1378 |
| LMArena Korean | 1385 | 1380 |
| LMArena Russian | 1415 | 1411 |
| LMArena Spanish | 1421 | 1433 |
Instruction Following Gemini 2.5 Flash leads
Gemini 2.5 Flash: 75.7 (#54), Mistral Medium: 73.7 (#116)
| Benchmark | Gemini 2.5 Flash | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | 1405 | 1398 |
| IFEval | 89.8% | — |
Long Context Gemini 2.5 Flash leads
Gemini 2.5 Flash: 47.5 (#17), Mistral Medium: 42.9 (#114)
| Benchmark | Gemini 2.5 Flash | Mistral Medium |
|---|---|---|
| LMArena Longer Query | 1419 | 1406 |
| Fiction.LiveBench | 77.8% | — |
Writing & Preference Mistral Medium leads
Gemini 2.5 Flash: 53.8 (#157), Mistral Medium: 60.0 (#103)
| Benchmark | Gemini 2.5 Flash | Mistral Medium |
|---|---|---|
| LMArena Text | 1417 | 1424 |
| LMArena Creative Writing | 1400 | 1391 |
| Short-Story Creative Writing | 76.5% | 77.3% |
| LMArena Multi-Turn | 1408 | 1418 |
| EQ-Bench Creative Writing | 1137 | — |
| WildBench | 81.7% | — |
Frequently asked questions
Is Gemini 2.5 Flash better than Mistral Medium?
Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 36.3 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash or Mistral Medium?
Gemini 2.5 Flash is cheaper. It lists at $0.30 per million input tokens and $2.50 per million output tokens; Mistral Medium lists at $1.50 and $7.50.
Is Gemini 2.5 Flash or Mistral Medium better for coding?
Gemini 2.5 Flash scores higher on coding benchmarks: 35.8 versus 34.2 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 2.5 Flash and Mistral Medium share?
30 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and Mistral Medium has 36.