Model comparison
Gemini 3.5 Flash vs Mistral Medium 3.5
Gemini 3.5 Flash is the stronger model overall, scoring 54.1 to 39.6 on the Noometry Index.
Last verified . 21 shared benchmarks.
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Mistral AISummary
- They share 21 benchmarks with published results for both. Gemini 3.5 Flash scores higher in 9 categories and Mistral Medium 3.5 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.5 Flash leads 62.7 to 16.6.
- The biggest single-benchmark swing is NYT Connections (extended): 92.6% for Gemini 3.5 Flash and 12.9% for Mistral Medium 3.5.
- Mistral Medium 3.5 is cheaper at $1.50 / $7.50 per million input/output tokens, against $1.50 / $9 for Gemini 3.5 Flash.
- Gemini 3.5 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 3.5 Flash | Mistral Medium 3.5 | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 54.1 | 39.6 |
| Released | 2026-05-19 | — |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 210K |
| Input $ / M tokens | $1.50 | $1.50 |
| Output $ / M tokens | $9 | $7.50 |
| Results tracked | 54 | 22 |
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Category by category
Coding Gemini 3.5 Flash leads
Gemini 3.5 Flash: 49.1 (#46), Mistral Medium 3.5: 35.7 (#208)
| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena WebDev | 1499 | 1263 |
| LMArena Coding | 1492 | 1461 |
| SWE-bench Verified | 79.3% | — |
| DeepSWE | 37.4% | — |
| SciCode | 53.1% | — |
| WeirdML | 62.6% | — |
| ALE-Bench | 911.02 | — |
Agentic & Tool Use Not comparable
Gemini 3.5 Flash: 24.8 (#107), Mistral Medium 3.5: —
| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| APEX-Agents | 27.5% | — |
| GBAEval | 6.7% | — |
| GDP.pdf | 14% | — |
| Vending-Bench 2 | 5,396 | — |
Reasoning Gemini 3.5 Flash leads
Gemini 3.5 Flash: 62.7 (#16), Mistral Medium 3.5: 16.6 (#290)
| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| NYT Connections (extended) | 92.6% | 12.9% |
| LMArena Hard Prompts | 1488 | 1436 |
| Epoch Capabilities Index | 154.55 | 141.42 |
| ARC-AGI-2 | 72.1% | — |
| SimpleBench | 76.7% | — |
| Kagi LLM Benchmark | — | 41.4% |
| ARC-AGI-1 | 92.5% | — |
| CritPt | 13.1% | — |
| Chess Puzzles | 50% | — |
| EnigmaEval | 25.4% | — |
| EBR-Bench | 4.8% | — |
| Mystery Game Puzzles | 32% | — |
| DTBench | 94.7% | — |
| LMCA | 47.1% | — |
| Surface Evolver Bench | 58.1% | — |
| ForecastBench | 59 | — |
Math Gemini 3.5 Flash leads
Gemini 3.5 Flash: 60.5 (#30), Mistral Medium 3.5: 36.4 (#113)
| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1502 | 1432 |
| FrontierMath (Tiers 1-3) | 62.8% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 76.3% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| ProofBench | 31% | — |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge Gemini 3.5 Flash leads
Gemini 3.5 Flash: 66.3 (#10), Mistral Medium 3.5: 39.3 (#123)
| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1493 | 1431 |
| GPQA Diamond | 92.8% | — |
| SimpleQA Verified | 66.2% | — |
Multimodal Gemini 3.5 Flash leads
Gemini 3.5 Flash: 45.7 (#13), Mistral Medium 3.5: 37.6 (#64)
| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | 1311 | 1222 |
| Blueprint-Bench 2 | 33.6% | — |
| LMArena Document | 1463 | — |
Multilingual Gemini 3.5 Flash leads
Gemini 3.5 Flash: 57.1 (#12), Mistral Medium 3.5: 52.1 (#93)
| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1475 | 1405 |
| LMArena Chinese | 1525 | 1443 |
| LMArena French | 1490 | 1448 |
| LMArena German | 1500 | 1453 |
| LMArena Korean | 1453 | 1387 |
| LMArena Russian | 1491 | 1396 |
| LMArena Spanish | 1478 | 1406 |
| LMArena Japanese | 1481 | — |
Instruction Following Gemini 3.5 Flash leads
Gemini 3.5 Flash: 77.2 (#29), Mistral Medium 3.5: 74.7 (#87)
| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1466 | 1414 |
Long Context Gemini 3.5 Flash leads
Gemini 3.5 Flash: 45.3 (#39), Mistral Medium 3.5: 43.2 (#101)
| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1481 | 1414 |
Writing & Preference Gemini 3.5 Flash leads
Gemini 3.5 Flash: 65.5 (#46), Mistral Medium 3.5: 58.6 (#113)
| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1481 | 1421 |
| LMArena Creative Writing | 1467 | 1372 |
| EQ-Bench 4 | 1087 | 993 |
| LMArena Multi-Turn | 1482 | 1423 |
Frequently asked questions
Is Gemini 3.5 Flash better than Mistral Medium 3.5?
Gemini 3.5 Flash is the stronger model overall, scoring 54.1 to 39.6 on the Noometry Index.
Which is cheaper, Gemini 3.5 Flash or Mistral Medium 3.5?
Mistral Medium 3.5 is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; Gemini 3.5 Flash lists at $1.50 and $9.
Is Gemini 3.5 Flash or Mistral Medium 3.5 better for coding?
Gemini 3.5 Flash scores higher on coding benchmarks: 49.1 versus 35.7 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.5 Flash does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 3.5 Flash and Mistral Medium 3.5 share?
21 benchmarks have published results for both models. Gemini 3.5 Flash has 54 scored results on Noometry and Mistral Medium 3.5 has 22.