Model comparison
Gemini 2.5 Pro vs Mistral Small 3.2
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 26× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.
Last verified . 6 shared benchmarks.
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Mistral AISummary
- They share 6 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 4 categories and Mistral Small 3.2 in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 2.5 Pro leads 56.0 to 26.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 84.7% for Gemini 2.5 Pro and 30.3% for Mistral Small 3.2.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 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 256K.
- Mistral Small 3.2 has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Pro | Mistral Small 3.2 | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 45.0 | 31.2 |
| Released | 2025-03-25 | 2025-06-20 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 256K |
| Max output | 66K | 16K |
| Input $ / M tokens | $1.25 | $0.0938 |
| Output $ / M tokens | $10 | $0.25 |
| Results tracked | 78 | 6 |
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Category by category
Coding Not comparable
Gemini 2.5 Pro: 42.4 (#101), Mistral Small 3.2: —
| Benchmark | Gemini 2.5 Pro | Mistral Small 3.2 |
|---|---|---|
| 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: 29.2 (#88), Mistral Small 3.2: —
| Benchmark | Gemini 2.5 Pro | Mistral Small 3.2 |
|---|---|---|
| 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 (#99), Mistral Small 3.2: 18.1 (#287)
| Benchmark | Gemini 2.5 Pro | Mistral Small 3.2 |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | 40.4% |
| Chess Puzzles | 20% | 1% |
| Epoch Capabilities Index | 145.32 | 131.74 |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 62.4% | — |
| ARC-AGI-1 | 41% | — |
| CritPt | 2% | — |
| EnigmaEval | 5.6% | — |
| LiveBench Reasoning | 89.8% | — |
| LMArena Hard Prompts | 1455 | — |
| DTBench | 82.4% | — |
| LiveBench Data Analysis | 79.9% | — |
| LMCA | 34.8% | — |
| ForecastBench | 61.3 | — |
| LiveBench | 82.3% | — |
Math Gemini 2.5 Pro leads
Gemini 2.5 Pro: 32.5 (#213), Mistral Small 3.2: 26.3 (#260)
| Benchmark | Gemini 2.5 Pro | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 84.7% | 30.3% |
| FrontierMath (Tiers 1-3) | 24.6% | — |
| FrontierMath Tier 4 | 0% | — |
| 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 Gemini 2.5 Pro leads
Gemini 2.5 Pro: 56.0 (#46), Mistral Small 3.2: 26.7 (#256)
| Benchmark | Gemini 2.5 Pro | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | 85.3% | 49.1% |
| 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: 45.2 (#18), Mistral Small 3.2: —
| Benchmark | Gemini 2.5 Pro | Mistral Small 3.2 |
|---|---|---|
| LMArena Vision | 1263 | — |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| LMArena Document | 1421 | — |
| SpatialViz-Bench | 44.7% | — |
Multilingual Not comparable
Gemini 2.5 Pro: 55.3 (#31), Mistral Small 3.2: —
| Benchmark | Gemini 2.5 Pro | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1451 | — |
| LMArena Chinese | 1507 | — |
| LMArena French | 1472 | — |
| LMArena German | 1487 | — |
| LMArena Japanese | 1461 | — |
| LMArena Korean | 1434 | — |
| LMArena Russian | 1461 | — |
| LMArena Spanish | 1473 | — |
Instruction Following Not comparable
Gemini 2.5 Pro: 75.0 (#75), Mistral Small 3.2: —
| Benchmark | Gemini 2.5 Pro | Mistral Small 3.2 |
|---|---|---|
| LiveBench Instruction Following | 80.6% | — |
| IFEval | 84% | — |
| LMArena Instruction Following | 1437 | — |
Long Context Not comparable
Gemini 2.5 Pro: 59.8 (#5), Mistral Small 3.2: —
| Benchmark | Gemini 2.5 Pro | Mistral Small 3.2 |
|---|---|---|
| Fiction.LiveBench | 91.7% | — |
| LMArena Longer Query | 1449 | — |
Writing & Preference Gemini 2.5 Pro leads
Gemini 2.5 Pro: 63.7 (#62), Mistral Small 3.2: 45.0 (#224)
| Benchmark | Gemini 2.5 Pro | Mistral Small 3.2 |
|---|---|---|
| EQ-Bench Creative Writing | 1421 | 1255 |
| LMArena Text | 1458 | — |
| LMArena Creative Writing | 1454 | — |
| 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 Small 3.2?
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 26× 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 Small 3.2?
Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 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 256K.
How many benchmarks do Gemini 2.5 Pro and Mistral Small 3.2 share?
6 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Mistral Small 3.2 has 6.