Model comparison
Gemini 2.5 Flash vs Mistral Medium 3.5
Gemini 2.5 Flash and Mistral Medium 3.5 score almost the same on the Noometry Index (39.3 vs 40.2), so choose on price, context window or the category you care about most.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 6 categories and Mistral Medium 3.5 in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Medium 3.5 leads 58.5 to 53.8.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 56.8% for Gemini 2.5 Flash and 41.4% for Mistral Medium 3.5.
- Gemini 2.5 Flash is cheaper at $0.30 / $2.50 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
- Gemini 2.5 Flash accepts more context: 1.05M tokens versus 262K.
- Mistral Medium 3.5 has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash | Mistral Medium 3.5 | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 39.3 | 40.2 |
| Released | 2025-04-17 | — |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 210K |
| Input $ / M tokens | $0.30 | $1.50 |
| Output $ / M tokens | $2.50 | $7.50 |
| Results tracked | 54 | 22 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Too close to call
Gemini 2.5 Flash: 35.8 (#220), Mistral Medium 3.5: 36.0 (#213)
| Benchmark | Gemini 2.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Coding | 1424 | 1461 |
| SWE-bench Verified (bash only) | 28.7% | — |
| Aider Polyglot | 55.1% | — |
| LMArena WebDev | — | 1264 |
| WeirdML | 41.9% | — |
| ALE-Bench | 661.88 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash: 30.8 (#74), Mistral Medium 3.5: —
| Benchmark | Gemini 2.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| Terminal-Bench | 17.1% | — |
| Berkeley Function Calling Leaderboard | 56.2% | — |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| Vending-Bench 2 | 548.84 | — |
Reasoning Too close to call
Gemini 2.5 Flash: 18.1 (#286), Mistral Medium 3.5: 17.3 (#295)
| Benchmark | Gemini 2.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| Kagi LLM Benchmark | 56.8% | 41.4% |
| LMArena Hard Prompts | 1422 | 1436 |
| Epoch Capabilities Index | 143.03 | 141.35 |
| ARC-AGI-2 | 2.5% | — |
| SimpleBench | 41.2% | — |
| NYT Connections (extended) | — | 12.9% |
| ARC-AGI-1 | 33.3% | — |
| CritPt | 1.1% | — |
| EnigmaEval | 2.7% | — |
| DTBench | 76.5% | — |
| LMCA | 27.5% | — |
| ForecastBench | 60.6 | — |
Math Too close to call
Gemini 2.5 Flash: 39.9 (#98), Mistral Medium 3.5: 39.1 (#113)
| Benchmark | Gemini 2.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1415 | 1431 |
| OTIS Mock AIME 2024-2025 | 73.1% | — |
| Omni-MATH | 38.5% | — |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Mistral Medium 3.5 leads
Gemini 2.5 Flash: 36.4 (#168), Mistral Medium 3.5: 40.0 (#126)
| Benchmark | Gemini 2.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1426 | 1432 |
| Humanity's Last Exam | 12.1% | — |
| MMLU-Pro | 63.9% | — |
| Confabulations | 16.8% | — |
| Vectara Hallucination Rate | 7.8% | — |
| GPQA (HELM) | 39% | — |
Multimodal Gemini 2.5 Flash leads
Gemini 2.5 Flash: 41.8 (#32), Mistral Medium 3.5: 38.3 (#65)
| Benchmark | Gemini 2.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | 1253 | 1223 |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| SpatialViz-Bench | 36.9% | — |
Multilingual Too close to call
Gemini 2.5 Flash: 52.3 (#88), Mistral Medium 3.5: 51.9 (#100)
| Benchmark | Gemini 2.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1409 | 1404 |
| LMArena Chinese | 1450 | 1442 |
| LMArena French | 1433 | 1448 |
| LMArena German | 1418 | 1451 |
| LMArena Korean | 1385 | 1385 |
| LMArena Russian | 1415 | 1395 |
| LMArena Spanish | 1421 | 1409 |
| LMArena Japanese | 1405 | — |
Instruction Following Gemini 2.5 Flash leads
Gemini 2.5 Flash: 75.7 (#54), Mistral Medium 3.5: 74.6 (#90)
| Benchmark | Gemini 2.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1405 | 1415 |
| IFEval | 89.8% | — |
Long Context Gemini 2.5 Flash leads
Gemini 2.5 Flash: 47.5 (#17), Mistral Medium 3.5: 43.2 (#103)
| Benchmark | Gemini 2.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1419 | 1415 |
| Fiction.LiveBench | 77.8% | — |
Writing & Preference Mistral Medium 3.5 leads
Gemini 2.5 Flash: 53.8 (#157), Mistral Medium 3.5: 58.5 (#117)
| Benchmark | Gemini 2.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1417 | 1421 |
| LMArena Creative Writing | 1400 | 1374 |
| LMArena Multi-Turn | 1408 | 1423 |
| Short-Story Creative Writing | 76.5% | — |
| EQ-Bench Creative Writing | 1137 | — |
| WildBench | 81.7% | — |
| EQ-Bench 4 | — | 993 |
Frequently asked questions
Is Gemini 2.5 Flash better than Mistral Medium 3.5?
Gemini 2.5 Flash and Mistral Medium 3.5 score almost the same on the Noometry Index (39.3 vs 40.2), so choose on price, context window or the category you care about most.
Which is cheaper, Gemini 2.5 Flash or Mistral Medium 3.5?
Gemini 2.5 Flash is cheaper. It lists at $0.30 per million input tokens and $2.50 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.
Is Gemini 2.5 Flash or Mistral Medium 3.5 better for coding?
They score almost the same on coding (35.8 vs 36.0); test both on your own repository before choosing.
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 3.5 share?
19 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and Mistral Medium 3.5 has 22.