Model comparison
Gemini 3.1 Pro Preview vs Pixtral Large
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 32.2 on the Noometry Index. Pixtral Large costs 1.5× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
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Mistral AISummary
- They share 3 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 3 categories and Pixtral Large in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 21.7.
- The biggest single-benchmark swing is EnigmaEval: 36.8% for Gemini 3.1 Pro Preview and 0.8% for Pixtral Large.
- Pixtral Large is cheaper at $2 / $6 per million input/output tokens, against $2 / $12 for Gemini 3.1 Pro Preview.
- Gemini 3.1 Pro Preview accepts more context: 1.05M tokens versus 128K.
- Pixtral Large has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.1 Pro Preview | Pixtral Large | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 56.7 | 32.2 |
| Released | 2026-02-19 | 2024-11-01 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 128K |
| Max output | 66K | 128K |
| Input $ / M tokens | $2 | $2 |
| Output $ / M tokens | $12 | $6 |
| Results tracked | 71 | 3 |
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Category by category
Coding Not comparable
Gemini 3.1 Pro Preview: 42.5 (#99), Pixtral Large: —
| Benchmark | Gemini 3.1 Pro Preview | Pixtral Large |
|---|---|---|
| SWE-bench Verified | 75.6% | — |
| DeepSWE | 11.7% | — |
| LMArena WebDev | 1447 | — |
| SciCode | 58.9% | — |
| GSO | 22.6% | — |
| WeirdML | 72.1% | — |
| LMArena Coding | 1484 | — |
| MirrorCode | 8.9% | — |
| ALE-Bench | 1,161 | — |
| AlgoTune | 2.02 | — |
Agentic & Tool Use Not comparable
Gemini 3.1 Pro Preview: 37.7 (#34), Pixtral Large: —
| Benchmark | Gemini 3.1 Pro Preview | Pixtral Large |
|---|---|---|
| Terminal-Bench | 80.2% | — |
| APEX-Agents | 35.3% | — |
| τ²-bench Banking | 26% | — |
| DeepResearch Bench | 47.8% | — |
| PostTrainBench | 22% | — |
| BALROG | 57% | — |
| ExploitBench | 26.1% | — |
| GBAEval | 0.8% | — |
| GDP.pdf | 17% | — |
| LMArena Search | 1211 | — |
| METR Time Horizons | 77% | — |
| Vending-Bench 2 | 3,774 | — |
Reasoning Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 71.7 (#12), Pixtral Large: 21.7 (#218)
| Benchmark | Gemini 3.1 Pro Preview | Pixtral Large |
|---|---|---|
| EnigmaEval | 36.8% | 0.8% |
| ARC-AGI-2 | 77.1% | — |
| SimpleBench | 79.6% | — |
| NYT Connections (extended) | 97.4% | — |
| ARC-AGI-1 | 98% | — |
| CritPt | 17.7% | — |
| Chess Puzzles | 55% | — |
| Thematic Generalization | 79.4% | — |
| EBR-Bench | 14.3% | — |
| LMArena Hard Prompts | 1485 | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 97.1% | — |
| LMCA | 53.8% | — |
| Epoch Capabilities Index | 154.77 | — |
| ForecastBench | 59 | — |
Math Not comparable
Gemini 3.1 Pro Preview: 62.1 (#34), Pixtral Large: —
| Benchmark | Gemini 3.1 Pro Preview | Pixtral Large |
|---|---|---|
| FrontierMath (Tiers 1-3) | 59.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 86.5% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| ProofBench | 26% | — |
| LMArena Math | 1485 | — |
| FrontierMath (Feb 2025 set) | 36.9% | — |
| FrontierMath Tier 4 (v1) | 16.7% | — |
Knowledge Not comparable
Gemini 3.1 Pro Preview: 71.8 (#3), Pixtral Large: —
| Benchmark | Gemini 3.1 Pro Preview | Pixtral Large |
|---|---|---|
| GPQA Diamond | 94.4% | — |
| Humanity's Last Exam | 46.4% | — |
| SimpleQA Verified | 73.5% | — |
| Vectara Hallucination Rate | 10.4% | — |
| LMArena Expert | 1485 | — |
Multimodal Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 37.9 (#69), Pixtral Large: 30.6 (#111)
| Benchmark | Gemini 3.1 Pro Preview | Pixtral Large |
|---|---|---|
| LMArena Vision | 1296 | 1089 |
| Blueprint-Bench 2 | 26.5% | — |
| Furniture Assembly | 26.7% | — |
| LMArena Document | 1444 | — |
Multilingual Not comparable
Gemini 3.1 Pro Preview: 57.0 (#12), Pixtral Large: —
| Benchmark | Gemini 3.1 Pro Preview | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1477 | — |
| LMArena Chinese | 1529 | — |
| LMArena French | 1487 | — |
| LMArena German | 1491 | — |
| LMArena Japanese | 1493 | — |
| LMArena Korean | 1455 | — |
| LMArena Russian | 1498 | — |
| LMArena Spanish | 1479 | — |
Instruction Following Not comparable
Gemini 3.1 Pro Preview: 77.0 (#32), Pixtral Large: —
| Benchmark | Gemini 3.1 Pro Preview | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1466 | — |
Long Context Not comparable
Gemini 3.1 Pro Preview: 47.4 (#18), Pixtral Large: —
| Benchmark | Gemini 3.1 Pro Preview | Pixtral Large |
|---|---|---|
| CL-bench | 20.8% | — |
| CL-bench Life | 16.9% | — |
| LMArena Longer Query | 1483 | — |
Writing & Preference Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 66.1 (#37), Pixtral Large: 32.9 (#278)
| Benchmark | Gemini 3.1 Pro Preview | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | 1491 | 988 |
| LMArena Text | 1481 | — |
| LMArena Creative Writing | 1482 | — |
| EQ-Bench 4 | 1142 | — |
| LMArena Multi-Turn | 1488 | — |
Frequently asked questions
Is Gemini 3.1 Pro Preview better than Pixtral Large?
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 32.2 on the Noometry Index. Pixtral Large costs 1.5× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.
Which is cheaper, Gemini 3.1 Pro Preview or Pixtral Large?
Pixtral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Gemini 3.1 Pro Preview lists at $2 and $12.
Which has the bigger context window?
Gemini 3.1 Pro Preview does, with 1.05M tokens against 128K.
How many benchmarks do Gemini 3.1 Pro Preview and Pixtral Large share?
3 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and Pixtral Large has 3.