Model comparison
Gemini 2.5 Flash vs Mistral Small 3
Gemini 2.5 Flash is the stronger model overall, scoring 39.0 to 30.9 on the Noometry Index. Mistral Small 3 costs 15× less per token, which makes it the better buy when Gemini 2.5 Flash's lead doesn't matter for your workload.
Last verified . 20 shared benchmarks.
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Mistral AISummary
- They share 20 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 6 categories and Mistral Small 3 in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.5 Flash leads 38.1 to 15.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 73.1% for Gemini 2.5 Flash and 6.7% for Mistral Small 3.
- Mistral Small 3 is cheaper at $0.05 / $0.08 per million input/output tokens, against $0.30 / $2.50 for Gemini 2.5 Flash.
- Gemini 2.5 Flash accepts more context: 1.05M tokens versus 33K.
- Mistral Small 3 has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash | Mistral Small 3 | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 39.0 | 30.9 |
| Released | 2025-04-17 | 2025-01-30 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 33K |
| Max output | 66K | 16K |
| Input $ / M tokens | $0.30 | $0.05 |
| Output $ / M tokens | $2.50 | $0.08 |
| Results tracked | 54 | 24 |
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Category by category
Coding Too close to call
Gemini 2.5 Flash: 35.5 (#210), Mistral Small 3: 36.0 (#203)
| Benchmark | Gemini 2.5 Flash | Mistral Small 3 |
|---|---|---|
| LMArena Coding | 1424 | 1246 |
| SWE-bench Verified (bash only) | 28.7% | — |
| Aider Polyglot | 55.1% | — |
| WeirdML | 41.9% | — |
| BigCodeBench Instruct | — | 45.3% |
| BigCodeBench Complete | — | 50.4% |
| ALE-Bench | 661.88 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash: 30.6 (#67), Mistral Small 3: —
| Benchmark | Gemini 2.5 Flash | Mistral Small 3 |
|---|---|---|
| Terminal-Bench | 17.1% | — |
| Berkeley Function Calling Leaderboard | 56.2% | — |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| Vending-Bench 2 | 548.84 | — |
Reasoning Too close to call
Gemini 2.5 Flash: 18.2 (#271), Mistral Small 3: 18.2 (#269)
| Benchmark | Gemini 2.5 Flash | Mistral Small 3 |
|---|---|---|
| LMArena Hard Prompts | 1422 | 1233 |
| Epoch Capabilities Index | 143.04 | 127.06 |
| ARC-AGI-2 | 2.5% | — |
| SimpleBench | 41.2% | — |
| Kagi LLM Benchmark | 56.8% | — |
| ARC-AGI-1 | 33.3% | — |
| CritPt | 1.1% | — |
| Chess Puzzles | — | 0% |
| EnigmaEval | 2.7% | — |
| DTBench | 76.5% | — |
| LMCA | 27.5% | — |
| ForecastBench | 60.6 | — |
Math Gemini 2.5 Flash leads
Gemini 2.5 Flash: 38.1 (#87), Mistral Small 3: 15.3 (#290)
| Benchmark | Gemini 2.5 Flash | Mistral Small 3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 73.1% | 6.7% |
| LMArena Math | 1415 | 1240 |
| Omni-MATH | 38.5% | — |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Gemini 2.5 Flash leads
Gemini 2.5 Flash: 36.1 (#162), Mistral Small 3: 25.0 (#258)
| Benchmark | Gemini 2.5 Flash | Mistral Small 3 |
|---|---|---|
| Confabulations | 16.8% | 25.2% |
| LMArena Expert | 1426 | 1202 |
| GPQA Diamond | — | 47.3% |
| Humanity's Last Exam | 12.1% | — |
| MMLU-Pro | 63.9% | — |
| Vectara Hallucination Rate | 7.8% | — |
| GPQA (HELM) | 39% | — |
Multimodal Not comparable
Gemini 2.5 Flash: 41.2 (#31), Mistral Small 3: —
| Benchmark | Gemini 2.5 Flash | Mistral Small 3 |
|---|---|---|
| LMArena Vision | 1254 | — |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| SpatialViz-Bench | 36.9% | — |
Multilingual Gemini 2.5 Flash leads
Gemini 2.5 Flash: 52.5 (#83), Mistral Small 3: 37.5 (#231)
| Benchmark | Gemini 2.5 Flash | Mistral Small 3 |
|---|---|---|
| LMArena Non-English | 1410 | 1198 |
| LMArena Chinese | 1450 | 1204 |
| LMArena French | 1433 | 1202 |
| LMArena German | 1419 | 1211 |
| LMArena Japanese | 1403 | 1111 |
| LMArena Korean | 1385 | 1188 |
| LMArena Russian | 1415 | 1216 |
| LMArena Spanish | 1421 | — |
Instruction Following Gemini 2.5 Flash leads
Gemini 2.5 Flash: 75.9 (#50), Mistral Small 3: 63.9 (#224)
| Benchmark | Gemini 2.5 Flash | Mistral Small 3 |
|---|---|---|
| LMArena Instruction Following | 1405 | 1214 |
| IFEval | 89.8% | — |
Long Context Gemini 2.5 Flash leads
Gemini 2.5 Flash: 47.5 (#16), Mistral Small 3: 37.8 (#206)
| Benchmark | Gemini 2.5 Flash | Mistral Small 3 |
|---|---|---|
| LMArena Longer Query | 1419 | 1246 |
| Fiction.LiveBench | 77.8% | — |
Writing & Preference Gemini 2.5 Flash leads
Gemini 2.5 Flash: 54.0 (#153), Mistral Small 3: 32.4 (#275)
| Benchmark | Gemini 2.5 Flash | Mistral Small 3 |
|---|---|---|
| LMArena Text | 1417 | 1234 |
| LMArena Creative Writing | 1400 | 1195 |
| EQ-Bench Creative Writing | 1137 | 707 |
| LMArena Multi-Turn | 1408 | 1217 |
| Short-Story Creative Writing | 76.5% | — |
| WildBench | 81.7% | — |
Frequently asked questions
Is Gemini 2.5 Flash better than Mistral Small 3?
Gemini 2.5 Flash is the stronger model overall, scoring 39.0 to 30.9 on the Noometry Index. Mistral Small 3 costs 15× less per token, which makes it the better buy when Gemini 2.5 Flash's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Flash or Mistral Small 3?
Mistral Small 3 is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; Gemini 2.5 Flash lists at $0.30 and $2.50.
Is Gemini 2.5 Flash or Mistral Small 3 better for coding?
They score almost the same on coding (35.5 vs 36.0); test both on your own repository before choosing.
Which has the bigger context window?
Gemini 2.5 Flash does, with 1.05M tokens against 33K.
How many benchmarks do Gemini 2.5 Flash and Mistral Small 3 share?
20 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and Mistral Small 3 has 24.