Model comparison
Gemini 2.5 Flash vs Pixtral Large
Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 32.2 on the Noometry Index.
Last verified . 3 shared benchmarks.
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Mistral AISummary
- They share 3 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 2 categories and Pixtral Large in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 2.5 Flash leads 53.8 to 32.9.
- Gemini 2.5 Flash is cheaper at $0.30 / $2.50 per million input/output tokens, against $2 / $6 for Pixtral Large.
- Gemini 2.5 Flash accepts more context: 1.05M tokens versus 128K.
- Pixtral Large has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash | Pixtral Large | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 39.3 | 32.2 |
| Released | 2025-04-17 | 2024-11-01 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 128K |
| Max output | 66K | 128K |
| Input $ / M tokens | $0.30 | $2 |
| Output $ / M tokens | $2.50 | $6 |
| Results tracked | 54 | 3 |
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Category by category
Coding Not comparable
Gemini 2.5 Flash: 35.8 (#220), Pixtral Large: —
| Benchmark | Gemini 2.5 Flash | Pixtral Large |
|---|---|---|
| SWE-bench Verified (bash only) | 28.7% | — |
| Aider Polyglot | 55.1% | — |
| WeirdML | 41.9% | — |
| LMArena Coding | 1424 | — |
| ALE-Bench | 661.88 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash: 30.8 (#74), Pixtral Large: —
| Benchmark | Gemini 2.5 Flash | Pixtral Large |
|---|---|---|
| Terminal-Bench | 17.1% | — |
| Berkeley Function Calling Leaderboard | 56.2% | — |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| Vending-Bench 2 | 548.84 | — |
Reasoning Pixtral Large leads
Gemini 2.5 Flash: 18.1 (#286), Pixtral Large: 21.7 (#218)
| Benchmark | Gemini 2.5 Flash | Pixtral Large |
|---|---|---|
| EnigmaEval | 2.7% | 0.8% |
| ARC-AGI-2 | 2.5% | — |
| SimpleBench | 41.2% | — |
| Kagi LLM Benchmark | 56.8% | — |
| ARC-AGI-1 | 33.3% | — |
| CritPt | 1.1% | — |
| LMArena Hard Prompts | 1422 | — |
| DTBench | 76.5% | — |
| LMCA | 27.5% | — |
| Epoch Capabilities Index | 143.03 | — |
| ForecastBench | 60.6 | — |
Math Not comparable
Gemini 2.5 Flash: 39.9 (#98), Pixtral Large: —
| Benchmark | Gemini 2.5 Flash | Pixtral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 73.1% | — |
| Omni-MATH | 38.5% | — |
| LMArena Math | 1415 | — |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Not comparable
Gemini 2.5 Flash: 36.4 (#168), Pixtral Large: —
| Benchmark | Gemini 2.5 Flash | Pixtral Large |
|---|---|---|
| Humanity's Last Exam | 12.1% | — |
| MMLU-Pro | 63.9% | — |
| Confabulations | 16.8% | — |
| Vectara Hallucination Rate | 7.8% | — |
| GPQA (HELM) | 39% | — |
| LMArena Expert | 1426 | — |
Multimodal Gemini 2.5 Flash leads
Gemini 2.5 Flash: 41.8 (#32), Pixtral Large: 30.6 (#111)
| Benchmark | Gemini 2.5 Flash | Pixtral Large |
|---|---|---|
| LMArena Vision | 1253 | 1089 |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| SpatialViz-Bench | 36.9% | — |
Multilingual Not comparable
Gemini 2.5 Flash: 52.3 (#88), Pixtral Large: —
| Benchmark | Gemini 2.5 Flash | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1409 | — |
| LMArena Chinese | 1450 | — |
| LMArena French | 1433 | — |
| LMArena German | 1418 | — |
| LMArena Japanese | 1405 | — |
| LMArena Korean | 1385 | — |
| LMArena Russian | 1415 | — |
| LMArena Spanish | 1421 | — |
Instruction Following Not comparable
Gemini 2.5 Flash: 75.7 (#54), Pixtral Large: —
| Benchmark | Gemini 2.5 Flash | Pixtral Large |
|---|---|---|
| IFEval | 89.8% | — |
| LMArena Instruction Following | 1405 | — |
Long Context Not comparable
Gemini 2.5 Flash: 47.5 (#17), Pixtral Large: —
| Benchmark | Gemini 2.5 Flash | Pixtral Large |
|---|---|---|
| Fiction.LiveBench | 77.8% | — |
| LMArena Longer Query | 1419 | — |
Writing & Preference Gemini 2.5 Flash leads
Gemini 2.5 Flash: 53.8 (#157), Pixtral Large: 32.9 (#278)
| Benchmark | Gemini 2.5 Flash | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | 1137 | 988 |
| LMArena Text | 1417 | — |
| LMArena Creative Writing | 1400 | — |
| Short-Story Creative Writing | 76.5% | — |
| WildBench | 81.7% | — |
| LMArena Multi-Turn | 1408 | — |
Frequently asked questions
Is Gemini 2.5 Flash better than Pixtral Large?
Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 32.2 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash or Pixtral Large?
Gemini 2.5 Flash is cheaper. It lists at $0.30 per million input tokens and $2.50 per million output tokens; Pixtral Large lists at $2 and $6.
Which has the bigger context window?
Gemini 2.5 Flash does, with 1.05M tokens against 128K.
How many benchmarks do Gemini 2.5 Flash and Pixtral Large share?
3 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and Pixtral Large has 3.