Model comparison
Gemini 3.5 Flash vs Mistral Medium 3.1
Gemini 3.5 Flash is the stronger model overall, scoring 54.2 to 31.9 on the Noometry Index. Mistral Medium 3.1 costs 4.2× less per token, which makes it the better buy when Gemini 3.5 Flash's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
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Mistral AISummary
- They share 1 benchmark with published results for both. Gemini 3.5 Flash scores higher in 2 categories and Mistral Medium 3.1 in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.5 Flash leads 62.8 to 10.6.
- The biggest single-benchmark swing is NYT Connections (extended): 92.6% for Gemini 3.5 Flash and 6.5% for Mistral Medium 3.1.
- Mistral Medium 3.1 is cheaper at $0.40 / $2 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 131K.
Side by side
| Gemini 3.5 Flash | Mistral Medium 3.1 | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 54.2 | 31.9 |
| Released | 2026-05-19 | — |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 131K |
| Max output | 66K | 105K |
| Input $ / M tokens | $1.50 | $0.40 |
| Output $ / M tokens | $9 | $2 |
| Results tracked | 54 | 3 |
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Category by category
Coding Not comparable
Gemini 3.5 Flash: 49.4 (#49), Mistral Medium 3.1: —
| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.1 |
|---|---|---|
| SWE-bench Verified | 79.3% | — |
| DeepSWE | 37.4% | — |
| LMArena WebDev | 1499 | — |
| SciCode | 53.1% | — |
| WeirdML | 62.6% | — |
| LMArena Coding | 1492 | — |
| ALE-Bench | 911.02 | — |
Agentic & Tool Use Not comparable
Gemini 3.5 Flash: 24.7 (#114), Mistral Medium 3.1: —
| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.1 |
|---|---|---|
| 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: 62.8 (#18), Mistral Medium 3.1: 10.6 (#341)
| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.1 |
|---|---|---|
| NYT Connections (extended) | 92.6% | 6.5% |
| ARC-AGI-2 | 72.1% | — |
| SimpleBench | 76.7% | — |
| ARC-AGI-1 | 92.5% | — |
| CritPt | 13.1% | — |
| Chess Puzzles | 50% | — |
| EnigmaEval | 25.4% | — |
| Thematic Generalization | — | 20.3% |
| EBR-Bench | 4.8% | — |
| LMArena Hard Prompts | 1488 | — |
| Mystery Game Puzzles | 32% | — |
| DTBench | 94.7% | — |
| LMCA | 47.1% | — |
| Surface Evolver Bench | 58.1% | — |
| Epoch Capabilities Index | 154.46 | — |
| ForecastBench | 59 | — |
Math Not comparable
Gemini 3.5 Flash: 60.7 (#36), Mistral Medium 3.1: —
| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.1 |
|---|---|---|
| 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% | — |
| LMArena Math | 1504 | — |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge Not comparable
Gemini 3.5 Flash: 66.3 (#11), Mistral Medium 3.1: —
| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.1 |
|---|---|---|
| GPQA Diamond | 92.8% | — |
| SimpleQA Verified | 66.2% | — |
| LMArena Expert | 1495 | — |
Multimodal Not comparable
Gemini 3.5 Flash: 45.7 (#15), Mistral Medium 3.1: —
| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.1 |
|---|---|---|
| LMArena Vision | 1310 | — |
| Blueprint-Bench 2 | 33.6% | — |
| LMArena Document | 1463 | — |
Multilingual Not comparable
Gemini 3.5 Flash: 57.0 (#13), Mistral Medium 3.1: —
| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.1 |
|---|---|---|
| LMArena Non-English | 1476 | — |
| LMArena Chinese | 1526 | — |
| LMArena French | 1490 | — |
| LMArena German | 1492 | — |
| LMArena Japanese | 1486 | — |
| LMArena Korean | 1451 | — |
| LMArena Russian | 1493 | — |
| LMArena Spanish | 1480 | — |
Instruction Following Not comparable
Gemini 3.5 Flash: 77.0 (#30), Mistral Medium 3.1: —
| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.1 |
|---|---|---|
| LMArena Instruction Following | 1467 | — |
Long Context Not comparable
Gemini 3.5 Flash: 45.4 (#38), Mistral Medium 3.1: —
| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.1 |
|---|---|---|
| LMArena Longer Query | 1482 | — |
Writing & Preference Gemini 3.5 Flash leads
Gemini 3.5 Flash: 65.5 (#47), Mistral Medium 3.1: 55.5 (#145)
| Benchmark | Gemini 3.5 Flash | Mistral Medium 3.1 |
|---|---|---|
| LMArena Text | 1482 | — |
| LMArena Creative Writing | 1470 | — |
| EQ-Bench Creative Writing | — | 1476 |
| EQ-Bench 4 | 1087 | — |
| LMArena Multi-Turn | 1481 | — |
Frequently asked questions
Is Gemini 3.5 Flash better than Mistral Medium 3.1?
Gemini 3.5 Flash is the stronger model overall, scoring 54.2 to 31.9 on the Noometry Index. Mistral Medium 3.1 costs 4.2× less per token, which makes it the better buy when Gemini 3.5 Flash's lead doesn't matter for your workload.
Which is cheaper, Gemini 3.5 Flash or Mistral Medium 3.1?
Mistral Medium 3.1 is cheaper. It lists at $0.40 per million input tokens and $2 per million output tokens; Gemini 3.5 Flash lists at $1.50 and $9.
Which has the bigger context window?
Gemini 3.5 Flash does, with 1.05M tokens against 131K.
How many benchmarks do Gemini 3.5 Flash and Mistral Medium 3.1 share?
1 benchmark has published results for both models. Gemini 3.5 Flash has 54 scored results on Noometry and Mistral Medium 3.1 has 3.