Model comparison
Gemini 2.5 Pro vs Mistral Medium 3.1
Gemini 2.5 Pro is the stronger model overall, scoring 44.9 to 31.5 on the Noometry Index. Mistral Medium 3.1 costs 4.3× less per token, which makes it the better buy when Gemini 2.5 Pro'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 2.5 Pro 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 2.5 Pro leads 28.8 to 10.1.
- Mistral Medium 3.1 is cheaper at $0.40 / $2 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
- Gemini 2.5 Pro accepts more context: 1.05M tokens versus 131K.
Side by side
| Gemini 2.5 Pro | Mistral Medium 3.1 | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 44.9 | 31.5 |
| Released | 2025-03-25 | — |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 131K |
| Max output | 66K | 105K |
| Input $ / M tokens | $1.25 | $0.40 |
| Output $ / M tokens | $10 | $2 |
| Results tracked | 78 | 3 |
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Category by category
Coding Not comparable
Gemini 2.5 Pro: 42.8 (#86), Mistral Medium 3.1: —
| Benchmark | Gemini 2.5 Pro | Mistral Medium 3.1 |
|---|---|---|
| SWE-bench Verified | 57.6% | — |
| SWE-bench Verified (bash only) | 53.6% | — |
| Aider Polyglot | 83.1% | — |
| LMArena WebDev | 1227 | — |
| SciCode | 42.8% | — |
| GSO | 3.9% | — |
| WeirdML | 54% | — |
| LiveBench Coding | 85.9% | — |
| LMArena Coding | 1452 | — |
| CadEval | 64% | — |
| ALE-Bench | 785.52 | — |
| AlgoTune | 1.51 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Pro: 29.1 (#81), Mistral Medium 3.1: —
| Benchmark | Gemini 2.5 Pro | Mistral Medium 3.1 |
|---|---|---|
| Terminal-Bench | 32.6% | — |
| GDPval | 23.3% | — |
| Remote Labor Index | 0.8% | — |
| TheAgentCompany | 30.3% | — |
| τ²-bench Banking | 13.7% | — |
| DeepResearch Bench | 42.8% | — |
| BALROG | 43.3% | — |
| LMArena Search | 1142 | — |
| METR Time Horizons | 55.4% | — |
| Vending-Bench 2 | 573.64 | — |
Reasoning Gemini 2.5 Pro leads
Gemini 2.5 Pro: 28.8 (#85), Mistral Medium 3.1: 10.1 (#336)
| Benchmark | Gemini 2.5 Pro | Mistral Medium 3.1 |
|---|---|---|
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 62.4% | — |
| Kagi LLM Benchmark | 70.3% | — |
| NYT Connections (extended) | — | 6.5% |
| ARC-AGI-1 | 41% | — |
| CritPt | 2% | — |
| Chess Puzzles | 20% | — |
| EnigmaEval | 5.6% | — |
| Thematic Generalization | — | 20.3% |
| LiveBench Reasoning | 89.8% | — |
| LMArena Hard Prompts | 1455 | — |
| DTBench | 82.4% | — |
| LiveBench Data Analysis | 79.9% | — |
| LMCA | 34.8% | — |
| Epoch Capabilities Index | 145.32 | — |
| ForecastBench | 61.3 | — |
| LiveBench | 82.3% | — |
Math Not comparable
Gemini 2.5 Pro: 31.9 (#191), Mistral Medium 3.1: —
| Benchmark | Gemini 2.5 Pro | Mistral Medium 3.1 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 24.6% | — |
| FrontierMath Tier 4 | 0% | — |
| OTIS Mock AIME 2024-2025 | 84.7% | — |
| Omni-MATH | 41.6% | — |
| LiveBench Math | 90.2% | — |
| LMArena Math | 1450 | — |
| MATH Level 5 | 95.9% | — |
| FrontierMath (Feb 2025 set) | 14.1% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Not comparable
Gemini 2.5 Pro: 55.8 (#41), Mistral Medium 3.1: —
| Benchmark | Gemini 2.5 Pro | Mistral Medium 3.1 |
|---|---|---|
| GPQA Diamond | 85.3% | — |
| Humanity's Last Exam | 21.6% | — |
| MMLU-Pro | 86.3% | — |
| Confabulations | 10.6% | — |
| Vectara Hallucination Rate | 7% | — |
| GPQA (HELM) | 74.9% | — |
| LMArena Expert | 1452 | — |
Multimodal Not comparable
Gemini 2.5 Pro: 44.5 (#16), Mistral Medium 3.1: —
| Benchmark | Gemini 2.5 Pro | Mistral Medium 3.1 |
|---|---|---|
| LMArena Vision | 1263 | — |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| LMArena Document | 1421 | — |
| SpatialViz-Bench | 44.7% | — |
Multilingual Not comparable
Gemini 2.5 Pro: 55.5 (#30), Mistral Medium 3.1: —
| Benchmark | Gemini 2.5 Pro | Mistral Medium 3.1 |
|---|---|---|
| LMArena Non-English | 1452 | — |
| LMArena Chinese | 1507 | — |
| LMArena French | 1473 | — |
| LMArena German | 1487 | — |
| LMArena Japanese | 1462 | — |
| LMArena Korean | 1435 | — |
| LMArena Russian | 1460 | — |
| LMArena Spanish | 1473 | — |
Instruction Following Not comparable
Gemini 2.5 Pro: 75.2 (#71), Mistral Medium 3.1: —
| Benchmark | Gemini 2.5 Pro | Mistral Medium 3.1 |
|---|---|---|
| LiveBench Instruction Following | 80.6% | — |
| IFEval | 84% | — |
| LMArena Instruction Following | 1436 | — |
Long Context Not comparable
Gemini 2.5 Pro: 59.7 (#5), Mistral Medium 3.1: —
| Benchmark | Gemini 2.5 Pro | Mistral Medium 3.1 |
|---|---|---|
| Fiction.LiveBench | 91.7% | — |
| LMArena Longer Query | 1449 | — |
Writing & Preference Gemini 2.5 Pro leads
Gemini 2.5 Pro: 63.9 (#60), Mistral Medium 3.1: 55.6 (#140)
| Benchmark | Gemini 2.5 Pro | Mistral Medium 3.1 |
|---|---|---|
| EQ-Bench Creative Writing | 1421 | 1476 |
| LMArena Text | 1458 | — |
| LMArena Creative Writing | 1453 | — |
| Short-Story Creative Writing | 83.8% | — |
| WildBench | 85.7% | — |
| LMArena Multi-Turn | 1453 | — |
| LiveBench Language | 67.8% | — |
Frequently asked questions
Is Gemini 2.5 Pro better than Mistral Medium 3.1?
Gemini 2.5 Pro is the stronger model overall, scoring 44.9 to 31.5 on the Noometry Index. Mistral Medium 3.1 costs 4.3× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Pro 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 2.5 Pro lists at $1.25 and $10.
Which has the bigger context window?
Gemini 2.5 Pro does, with 1.05M tokens against 131K.
How many benchmarks do Gemini 2.5 Pro and Mistral Medium 3.1 share?
1 benchmark has published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Mistral Medium 3.1 has 3.