Model comparison
Gemini 3.1 Pro Preview vs Mistral Medium 3.5
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 40.2 on the Noometry Index. Mistral Medium 3.5 costs 1.5× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 8 categories and Mistral Medium 3.5 in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 17.3.
- The biggest single-benchmark swing is NYT Connections (extended): 97.4% for Gemini 3.1 Pro Preview 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 $2 / $12 for Gemini 3.1 Pro Preview.
- Gemini 3.1 Pro Preview 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 3.1 Pro Preview | Mistral Medium 3.5 | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 56.7 | 40.2 |
| Released | 2026-02-19 | — |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 210K |
| Input $ / M tokens | $2 | $1.50 |
| Output $ / M tokens | $12 | $7.50 |
| Results tracked | 71 | 22 |
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Category by category
Coding Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 42.5 (#99), Mistral Medium 3.5: 36.0 (#213)
| Benchmark | Gemini 3.1 Pro Preview | Mistral Medium 3.5 |
|---|---|---|
| LMArena WebDev | 1447 | 1264 |
| LMArena Coding | 1484 | 1461 |
| SWE-bench Verified | 75.6% | — |
| DeepSWE | 11.7% | — |
| SciCode | 58.9% | — |
| GSO | 22.6% | — |
| WeirdML | 72.1% | — |
| MirrorCode | 8.9% | — |
| ALE-Bench | 1,161 | — |
| AlgoTune | 2.02 | — |
Agentic & Tool Use Not comparable
Gemini 3.1 Pro Preview: 37.7 (#34), Mistral Medium 3.5: —
| Benchmark | Gemini 3.1 Pro Preview | Mistral Medium 3.5 |
|---|---|---|
| Terminal-Bench | 80.2% | — |
| APEX-Agents | 35.3% | — |
| τ²-bench Banking | 26% | — |
| DeepResearch Bench | 47.8% | — |
| PostTrainBench | 22% | — |
| BALROG | 57% | — |
| ExploitBench | 26.1% | — |
| GBAEval | 0.8% | — |
| GDP.pdf | 17% | — |
| LMArena Search | 1211 | — |
| METR Time Horizons | 77% | — |
| Vending-Bench 2 | 3,774 | — |
Reasoning Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 71.7 (#12), Mistral Medium 3.5: 17.3 (#295)
| Benchmark | Gemini 3.1 Pro Preview | Mistral Medium 3.5 |
|---|---|---|
| NYT Connections (extended) | 97.4% | 12.9% |
| LMArena Hard Prompts | 1485 | 1436 |
| Epoch Capabilities Index | 154.77 | 141.35 |
| ARC-AGI-2 | 77.1% | — |
| SimpleBench | 79.6% | — |
| Kagi LLM Benchmark | — | 41.4% |
| ARC-AGI-1 | 98% | — |
| CritPt | 17.7% | — |
| Chess Puzzles | 55% | — |
| EnigmaEval | 36.8% | — |
| Thematic Generalization | 79.4% | — |
| EBR-Bench | 14.3% | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 97.1% | — |
| LMCA | 53.8% | — |
| ForecastBench | 59 | — |
Math Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 62.1 (#34), Mistral Medium 3.5: 39.1 (#113)
| Benchmark | Gemini 3.1 Pro Preview | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1485 | 1431 |
| FrontierMath (Tiers 1-3) | 59.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 86.5% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| ProofBench | 26% | — |
| FrontierMath (Feb 2025 set) | 36.9% | — |
| FrontierMath Tier 4 (v1) | 16.7% | — |
Knowledge Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 71.8 (#3), Mistral Medium 3.5: 40.0 (#126)
| Benchmark | Gemini 3.1 Pro Preview | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1485 | 1432 |
| GPQA Diamond | 94.4% | — |
| Humanity's Last Exam | 46.4% | — |
| SimpleQA Verified | 73.5% | — |
| Vectara Hallucination Rate | 10.4% | — |
Multimodal Too close to call
Gemini 3.1 Pro Preview: 37.9 (#69), Mistral Medium 3.5: 38.3 (#65)
| Benchmark | Gemini 3.1 Pro Preview | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | 1296 | 1223 |
| Blueprint-Bench 2 | 26.5% | — |
| Furniture Assembly | 26.7% | — |
| LMArena Document | 1444 | — |
Multilingual Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 57.0 (#12), Mistral Medium 3.5: 51.9 (#100)
| Benchmark | Gemini 3.1 Pro Preview | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1477 | 1404 |
| LMArena Chinese | 1529 | 1442 |
| LMArena French | 1487 | 1448 |
| LMArena German | 1491 | 1451 |
| LMArena Korean | 1455 | 1385 |
| LMArena Russian | 1498 | 1395 |
| LMArena Spanish | 1479 | 1409 |
| LMArena Japanese | 1493 | — |
Instruction Following Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 77.0 (#32), Mistral Medium 3.5: 74.6 (#90)
| Benchmark | Gemini 3.1 Pro Preview | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1466 | 1415 |
Long Context Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 47.4 (#18), Mistral Medium 3.5: 43.2 (#103)
| Benchmark | Gemini 3.1 Pro Preview | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1483 | 1415 |
| CL-bench | 20.8% | — |
| CL-bench Life | 16.9% | — |
Writing & Preference Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 66.1 (#37), Mistral Medium 3.5: 58.5 (#117)
| Benchmark | Gemini 3.1 Pro Preview | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1481 | 1421 |
| LMArena Creative Writing | 1482 | 1374 |
| EQ-Bench 4 | 1142 | 993 |
| LMArena Multi-Turn | 1488 | 1423 |
| EQ-Bench Creative Writing | 1491 | — |
Frequently asked questions
Is Gemini 3.1 Pro Preview better than Mistral Medium 3.5?
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 40.2 on the Noometry Index. Mistral Medium 3.5 costs 1.5× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.
Which is cheaper, Gemini 3.1 Pro Preview 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 3.1 Pro Preview lists at $2 and $12.
Is Gemini 3.1 Pro Preview or Mistral Medium 3.5 better for coding?
Gemini 3.1 Pro Preview scores higher on coding benchmarks: 42.5 versus 36.0 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.1 Pro Preview does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 3.1 Pro Preview and Mistral Medium 3.5 share?
21 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and Mistral Medium 3.5 has 22.