Model comparison
Gemini 2.5 Pro vs Mistral Small
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 33.4 on the Noometry Index. Mistral Small costs 13× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.
Last verified . 35 shared benchmarks.
Summary
- They share 35 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 10 categories and Mistral Small in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 2.5 Pro leads 56.0 to 31.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 84.7% for Gemini 2.5 Pro and 5.8% for Mistral Small.
- Mistral Small is cheaper at $0.15 / $0.60 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 262K.
- Mistral Small has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Pro | Mistral Small | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 45.0 | 33.4 |
| Released | 2025-03-25 | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 256K |
| Input $ / M tokens | $1.25 | $0.15 |
| Output $ / M tokens | $10 | $0.60 |
| Results tracked | 78 | 39 |
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Category by category
Coding Gemini 2.5 Pro leads
Gemini 2.5 Pro: 42.4 (#101), Mistral Small: 34.0 (#247)
| Benchmark | Gemini 2.5 Pro | Mistral Small |
|---|---|---|
| SciCode | 42.8% | 26.5% |
| LiveBench Coding | 85.9% | 36.2% |
| LMArena Coding | 1452 | 1362 |
| ALE-Bench | 785.52 | 497.62 |
| SWE-bench Verified | 57.6% | — |
| SWE-bench Verified (bash only) | 53.6% | — |
| Aider Polyglot | 83.1% | — |
| LMArena WebDev | 1227 | — |
| GSO | 3.9% | — |
| WeirdML | 54% | — |
| BigCodeBench Instruct | — | 36.1% |
| BigCodeBench Complete | — | 46.6% |
| CadEval | 64% | — |
| AlgoTune | 1.51 | — |
Agentic & Tool Use Gemini 2.5 Pro leads
Gemini 2.5 Pro: 29.2 (#88), Mistral Small: 28.1 (#93)
| Benchmark | Gemini 2.5 Pro | Mistral Small |
|---|---|---|
| Terminal-Bench | 32.6% | — |
| Berkeley Function Calling Leaderboard | — | 37.1% |
| 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: 19.8 (#250)
| Benchmark | Gemini 2.5 Pro | Mistral Small |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | 37.8% |
| CritPt | 2% | 0% |
| LiveBench Reasoning | 89.8% | 44.8% |
| LMArena Hard Prompts | 1455 | 1335 |
| DTBench | 82.4% | 70.9% |
| LiveBench Data Analysis | 79.9% | 53.7% |
| LMCA | 34.8% | 20.6% |
| LiveBench | 82.3% | 44% |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 62.4% | — |
| ARC-AGI-1 | 41% | — |
| Chess Puzzles | 20% | — |
| EnigmaEval | 5.6% | — |
| Epoch Capabilities Index | 145.32 | — |
| ForecastBench | 61.3 | — |
Math Gemini 2.5 Pro leads
Gemini 2.5 Pro: 32.5 (#213), Mistral Small: 16.4 (#293)
| Benchmark | Gemini 2.5 Pro | Mistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 84.7% | 5.8% |
| LiveBench Math | 90.2% | 39.9% |
| LMArena Math | 1450 | 1341 |
| MATH Level 5 | 95.9% | 46.8% |
| FrontierMath (Tiers 1-3) | 24.6% | — |
| FrontierMath Tier 4 | 0% | — |
| Omni-MATH | 41.6% | — |
| 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: 31.0 (#222)
| Benchmark | Gemini 2.5 Pro | Mistral Small |
|---|---|---|
| GPQA Diamond | 85.3% | 47.5% |
| Vectara Hallucination Rate | 7% | 5.1% |
| LMArena Expert | 1452 | 1291 |
| Humanity's Last Exam | 21.6% | — |
| MMLU-Pro | 86.3% | — |
| Confabulations | 10.6% | — |
| GPQA (HELM) | 74.9% | — |
| MMLU | — | 68.7% |
Multimodal Gemini 2.5 Pro leads
Gemini 2.5 Pro: 45.2 (#18), Mistral Small: 33.5 (#96)
| Benchmark | Gemini 2.5 Pro | Mistral Small |
|---|---|---|
| LMArena Vision | 1263 | 1142 |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| LMArena Document | 1421 | — |
| SpatialViz-Bench | 44.7% | — |
Multilingual Gemini 2.5 Pro leads
Gemini 2.5 Pro: 55.3 (#31), Mistral Small: 45.5 (#169)
| Benchmark | Gemini 2.5 Pro | Mistral Small |
|---|---|---|
| LMArena Non-English | 1451 | 1315 |
| LMArena Chinese | 1507 | 1340 |
| LMArena French | 1472 | 1337 |
| LMArena German | 1487 | 1340 |
| LMArena Japanese | 1461 | 1275 |
| LMArena Korean | 1434 | 1259 |
| LMArena Russian | 1461 | 1324 |
| LMArena Spanish | 1473 | 1346 |
Instruction Following Gemini 2.5 Pro leads
Gemini 2.5 Pro: 75.0 (#75), Mistral Small: 66.4 (#209)
| Benchmark | Gemini 2.5 Pro | Mistral Small |
|---|---|---|
| LiveBench Instruction Following | 80.6% | 63.7% |
| LMArena Instruction Following | 1437 | 1310 |
| IFEval | 84% | — |
Long Context Gemini 2.5 Pro leads
Gemini 2.5 Pro: 59.8 (#5), Mistral Small: 40.4 (#156)
| Benchmark | Gemini 2.5 Pro | Mistral Small |
|---|---|---|
| LMArena Longer Query | 1449 | 1327 |
| Fiction.LiveBench | 91.7% | — |
Writing & Preference Gemini 2.5 Pro leads
Gemini 2.5 Pro: 63.7 (#62), Mistral Small: 52.5 (#171)
| Benchmark | Gemini 2.5 Pro | Mistral Small |
|---|---|---|
| LMArena Text | 1458 | 1338 |
| LMArena Creative Writing | 1454 | 1305 |
| LMArena Multi-Turn | 1453 | 1344 |
| LiveBench Language | 67.8% | 30.5% |
| Short-Story Creative Writing | 83.8% | — |
| EQ-Bench Creative Writing | 1421 | — |
| WildBench | 85.7% | — |
Frequently asked questions
Is Gemini 2.5 Pro better than Mistral Small?
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 33.4 on the Noometry Index. Mistral Small costs 13× 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?
Mistral Small is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.
Is Gemini 2.5 Pro or Mistral Small better for coding?
Gemini 2.5 Pro scores higher on coding benchmarks: 42.4 versus 34.0 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Pro does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 2.5 Pro and Mistral Small share?
35 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Mistral Small has 39.