Model comparison
Gemini 2.5 Pro vs Pixtral Large
Gemini 2.5 Pro is the stronger model overall, scoring 44.9 to 31.7 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 Pro scores higher in 3 categories and Pixtral Large in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 2.5 Pro leads 63.9 to 32.9.
- Pixtral Large is cheaper at $2 / $6 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 128K.
- Pixtral Large has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Pro | Pixtral Large | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 44.9 | 31.7 |
| Released | 2025-03-25 | 2024-11-01 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 128K |
| Max output | 66K | 128K |
| Input $ / M tokens | $1.25 | $2 |
| Output $ / M tokens | $10 | $6 |
| Results tracked | 78 | 3 |
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Category by category
Coding Not comparable
Gemini 2.5 Pro: 42.8 (#86), Pixtral Large: —
| Benchmark | Gemini 2.5 Pro | Pixtral Large |
|---|---|---|
| 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), Pixtral Large: —
| Benchmark | Gemini 2.5 Pro | Pixtral Large |
|---|---|---|
| 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), Pixtral Large: 20.9 (#208)
| Benchmark | Gemini 2.5 Pro | Pixtral Large |
|---|---|---|
| EnigmaEval | 5.6% | 0.8% |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 62.4% | — |
| Kagi LLM Benchmark | 70.3% | — |
| ARC-AGI-1 | 41% | — |
| CritPt | 2% | — |
| Chess Puzzles | 20% | — |
| 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), Pixtral Large: —
| Benchmark | Gemini 2.5 Pro | Pixtral Large |
|---|---|---|
| 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), Pixtral Large: —
| Benchmark | Gemini 2.5 Pro | Pixtral Large |
|---|---|---|
| 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 Gemini 2.5 Pro leads
Gemini 2.5 Pro: 44.5 (#16), Pixtral Large: 30.0 (#105)
| Benchmark | Gemini 2.5 Pro | Pixtral Large |
|---|---|---|
| LMArena Vision | 1263 | 1089 |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| LMArena Document | 1421 | — |
| SpatialViz-Bench | 44.7% | — |
Multilingual Not comparable
Gemini 2.5 Pro: 55.5 (#30), Pixtral Large: —
| Benchmark | Gemini 2.5 Pro | Pixtral Large |
|---|---|---|
| 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), Pixtral Large: —
| Benchmark | Gemini 2.5 Pro | Pixtral Large |
|---|---|---|
| LiveBench Instruction Following | 80.6% | — |
| IFEval | 84% | — |
| LMArena Instruction Following | 1436 | — |
Long Context Not comparable
Gemini 2.5 Pro: 59.7 (#5), Pixtral Large: —
| Benchmark | Gemini 2.5 Pro | Pixtral Large |
|---|---|---|
| Fiction.LiveBench | 91.7% | — |
| LMArena Longer Query | 1449 | — |
Writing & Preference Gemini 2.5 Pro leads
Gemini 2.5 Pro: 63.9 (#60), Pixtral Large: 32.9 (#273)
| Benchmark | Gemini 2.5 Pro | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | 1421 | 988 |
| 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 Pixtral Large?
Gemini 2.5 Pro is the stronger model overall, scoring 44.9 to 31.7 on the Noometry Index.
Which is cheaper, Gemini 2.5 Pro or Pixtral Large?
Pixtral Large is cheaper. It lists at $2 per million input tokens and $6 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 128K.
How many benchmarks do Gemini 2.5 Pro and Pixtral Large share?
3 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Pixtral Large has 3.