Model comparison
Devstral Medium vs Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview has enough public results to be ranked (#23); Devstral Medium does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Mistral AI
GoogleSummary
- They share 1 benchmark with published results for both. Devstral Medium scores higher in 0 categories and Gemini 3.1 Pro Preview in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 21.1.
- Devstral Medium is cheaper at $0.40 / $2 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.
- Devstral Medium has downloadable open weights; the other is API-only.
Side by side
| Devstral Medium | Gemini 3.1 Pro Preview | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 30.1 | 56.7 |
| Released | 2025-07-10 | 2026-02-19 |
| Weights | Open | Proprietary |
| Context window | 262K | 1.05M |
| Max output | 262K | 66K |
| Input $ / M tokens | $0.40 | $2 |
| Output $ / M tokens | $2 | $12 |
| Results tracked | 2 | 71 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Gemini 3.1 Pro Preview leads
Devstral Medium: 24.3, Gemini 3.1 Pro Preview: 42.5 (#99)
| Benchmark | Devstral Medium | Gemini 3.1 Pro Preview |
|---|---|---|
| LMArena WebDev | 1076 | 1447 |
| SWE-bench Verified | — | 75.6% |
| DeepSWE | — | 11.7% |
| SciCode | — | 58.9% |
| GSO | — | 22.6% |
| WeirdML | — | 72.1% |
| LMArena Coding | — | 1484 |
| MirrorCode | — | 8.9% |
| ALE-Bench | — | 1,161 |
| AlgoTune | — | 2.02 |
Agentic & Tool Use Not comparable
Devstral Medium: —, Gemini 3.1 Pro Preview: 37.7 (#34)
| Benchmark | Devstral Medium | Gemini 3.1 Pro Preview |
|---|---|---|
| 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
Devstral Medium: 21.1, Gemini 3.1 Pro Preview: 71.7 (#12)
| Benchmark | Devstral Medium | Gemini 3.1 Pro Preview |
|---|---|---|
| ARC-AGI-2 | — | 77.1% |
| SimpleBench | — | 79.6% |
| Kagi LLM Benchmark | 37.7% | — |
| NYT Connections (extended) | — | 97.4% |
| ARC-AGI-1 | — | 98% |
| CritPt | — | 17.7% |
| Chess Puzzles | — | 55% |
| EnigmaEval | — | 36.8% |
| Thematic Generalization | — | 79.4% |
| EBR-Bench | — | 14.3% |
| LMArena Hard Prompts | — | 1485 |
| Mystery Game Puzzles | — | 34% |
| DTBench | — | 97.1% |
| LMCA | — | 53.8% |
| Epoch Capabilities Index | — | 154.77 |
| ForecastBench | — | 59 |
Math Not comparable
Devstral Medium: —, Gemini 3.1 Pro Preview: 62.1 (#34)
| Benchmark | Devstral Medium | Gemini 3.1 Pro Preview |
|---|---|---|
| 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% |
| LMArena Math | — | 1485 |
| FrontierMath (Feb 2025 set) | — | 36.9% |
| FrontierMath Tier 4 (v1) | — | 16.7% |
Knowledge Not comparable
Devstral Medium: —, Gemini 3.1 Pro Preview: 71.8 (#3)
| Benchmark | Devstral Medium | Gemini 3.1 Pro Preview |
|---|---|---|
| GPQA Diamond | — | 94.4% |
| Humanity's Last Exam | — | 46.4% |
| SimpleQA Verified | — | 73.5% |
| Vectara Hallucination Rate | — | 10.4% |
| LMArena Expert | — | 1485 |
Multimodal Not comparable
Devstral Medium: —, Gemini 3.1 Pro Preview: 37.9 (#69)
| Benchmark | Devstral Medium | Gemini 3.1 Pro Preview |
|---|---|---|
| LMArena Vision | — | 1296 |
| Blueprint-Bench 2 | — | 26.5% |
| Furniture Assembly | — | 26.7% |
| LMArena Document | — | 1444 |
Multilingual Not comparable
Devstral Medium: —, Gemini 3.1 Pro Preview: 57.0 (#12)
| Benchmark | Devstral Medium | Gemini 3.1 Pro Preview |
|---|---|---|
| LMArena Non-English | — | 1477 |
| LMArena Chinese | — | 1529 |
| LMArena French | — | 1487 |
| LMArena German | — | 1491 |
| LMArena Japanese | — | 1493 |
| LMArena Korean | — | 1455 |
| LMArena Russian | — | 1498 |
| LMArena Spanish | — | 1479 |
Instruction Following Not comparable
Devstral Medium: —, Gemini 3.1 Pro Preview: 77.0 (#32)
| Benchmark | Devstral Medium | Gemini 3.1 Pro Preview |
|---|---|---|
| LMArena Instruction Following | — | 1466 |
Long Context Not comparable
Devstral Medium: —, Gemini 3.1 Pro Preview: 47.4 (#18)
| Benchmark | Devstral Medium | Gemini 3.1 Pro Preview |
|---|---|---|
| CL-bench | — | 20.8% |
| CL-bench Life | — | 16.9% |
| LMArena Longer Query | — | 1483 |
Writing & Preference Not comparable
Devstral Medium: —, Gemini 3.1 Pro Preview: 66.1 (#37)
| Benchmark | Devstral Medium | Gemini 3.1 Pro Preview |
|---|---|---|
| LMArena Text | — | 1481 |
| LMArena Creative Writing | — | 1482 |
| EQ-Bench Creative Writing | — | 1491 |
| EQ-Bench 4 | — | 1142 |
| LMArena Multi-Turn | — | 1488 |
Frequently asked questions
Is Devstral Medium better than Gemini 3.1 Pro Preview?
Gemini 3.1 Pro Preview has enough public results to be ranked (#23); Devstral Medium does not yet, so treat this comparison as directional.
Which is cheaper, Devstral Medium or Gemini 3.1 Pro Preview?
Devstral Medium is cheaper. It lists at $0.40 per million input tokens and $2 per million output tokens; Gemini 3.1 Pro Preview lists at $2 and $12.
Is Devstral Medium or Gemini 3.1 Pro Preview better for coding?
Gemini 3.1 Pro Preview scores higher on coding benchmarks: 42.5 versus 24.3 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 Devstral Medium and Gemini 3.1 Pro Preview share?
1 benchmark has published results for both models. Devstral Medium has 2 scored results on Noometry and Gemini 3.1 Pro Preview has 71.