Model comparison
Gemini 3.1 Pro Preview vs Mistral Large 3
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 39.1 on the Noometry Index. Mistral Large 3 costs 12× 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 . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 8 categories and Mistral Large 3 in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 15.2.
- The biggest single-benchmark swing is NYT Connections (extended): 97.4% for Gemini 3.1 Pro Preview and 7.5% for Mistral Large 3.
- Mistral Large 3 is cheaper at $0.25 / $0.75 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 262K.
- Mistral Large 3 has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.1 Pro Preview | Mistral Large 3 | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 56.7 | 39.1 |
| Released | 2026-02-19 | 2025-12-02 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 8K |
| Input $ / M tokens | $2 | $0.25 |
| Output $ / M tokens | $12 | $0.75 |
| Results tracked | 71 | 24 |
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Category by category
Coding Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 42.5 (#99), Mistral Large 3: 34.4 (#237)
| Benchmark | Gemini 3.1 Pro Preview | Mistral Large 3 |
|---|---|---|
| LMArena WebDev | 1447 | 1230 |
| LMArena Coding | 1484 | 1448 |
| SWE-bench Verified | 75.6% | — |
| DeepSWE | 11.7% | — |
| SciCode | 58.9% | — |
| GSO | 22.6% | — |
| WeirdML | 72.1% | — |
| MirrorCode | 8.9% | — |
| ALE-Bench | 1,161 | — |
| AlgoTune | 2.02 | — |
Agentic & Tool Use Not comparable
Gemini 3.1 Pro Preview: 37.7 (#34), Mistral Large 3: —
| Benchmark | Gemini 3.1 Pro Preview | Mistral Large 3 |
|---|---|---|
| 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), Mistral Large 3: 15.2 (#319)
| Benchmark | Gemini 3.1 Pro Preview | Mistral Large 3 |
|---|---|---|
| NYT Connections (extended) | 97.4% | 7.5% |
| Thematic Generalization | 79.4% | 23% |
| LMArena Hard Prompts | 1485 | 1429 |
| ARC-AGI-2 | 77.1% | — |
| SimpleBench | 79.6% | — |
| Kagi LLM Benchmark | — | 50.9% |
| ARC-AGI-1 | 98% | — |
| CritPt | 17.7% | — |
| Chess Puzzles | 55% | — |
| EnigmaEval | 36.8% | — |
| EBR-Bench | 14.3% | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 97.1% | — |
| LMCA | 53.8% | — |
| Epoch Capabilities Index | 154.77 | — |
| ForecastBench | 59 | — |
Math Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 62.1 (#34), Mistral Large 3: 38.7 (#129)
| Benchmark | Gemini 3.1 Pro Preview | Mistral Large 3 |
|---|---|---|
| LMArena Math | 1485 | 1414 |
| 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% | — |
| FrontierMath (Feb 2025 set) | 36.9% | — |
| FrontierMath Tier 4 (v1) | 16.7% | — |
Knowledge Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 71.8 (#3), Mistral Large 3: 36.0 (#177)
| Benchmark | Gemini 3.1 Pro Preview | Mistral Large 3 |
|---|---|---|
| Vectara Hallucination Rate | 10.4% | 14.5% |
| LMArena Expert | 1485 | 1421 |
| GPQA Diamond | 94.4% | — |
| Humanity's Last Exam | 46.4% | — |
| SimpleQA Verified | 73.5% | — |
Multimodal Too close to call
Gemini 3.1 Pro Preview: 37.9 (#69), Mistral Large 3: 38.2 (#66)
| Benchmark | Gemini 3.1 Pro Preview | Mistral Large 3 |
|---|---|---|
| LMArena Vision | 1296 | 1221 |
| Blueprint-Bench 2 | 26.5% | — |
| Furniture Assembly | 26.7% | — |
| LMArena Document | 1444 | — |
Multilingual Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 57.0 (#12), Mistral Large 3: 52.5 (#84)
| Benchmark | Gemini 3.1 Pro Preview | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | 1477 | 1413 |
| LMArena Chinese | 1529 | 1447 |
| LMArena French | 1487 | 1455 |
| LMArena German | 1491 | 1437 |
| LMArena Japanese | 1493 | 1394 |
| LMArena Korean | 1455 | 1384 |
| LMArena Russian | 1498 | 1411 |
| LMArena Spanish | 1479 | 1440 |
Instruction Following Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 77.0 (#32), Mistral Large 3: 74.0 (#108)
| Benchmark | Gemini 3.1 Pro Preview | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | 1466 | 1403 |
Long Context Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 47.4 (#18), Mistral Large 3: 43.1 (#105)
| Benchmark | Gemini 3.1 Pro Preview | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | 1483 | 1413 |
| CL-bench | 20.8% | — |
| CL-bench Life | 16.9% | — |
Writing & Preference Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 66.1 (#37), Mistral Large 3: 60.0 (#101)
| Benchmark | Gemini 3.1 Pro Preview | Mistral Large 3 |
|---|---|---|
| LMArena Text | 1481 | 1428 |
| LMArena Creative Writing | 1482 | 1386 |
| EQ-Bench Creative Writing | 1491 | 1412 |
| LMArena Multi-Turn | 1488 | 1429 |
| EQ-Bench 4 | 1142 | — |
Frequently asked questions
Is Gemini 3.1 Pro Preview better than Mistral Large 3?
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 39.1 on the Noometry Index. Mistral Large 3 costs 12× 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 Mistral Large 3?
Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; Gemini 3.1 Pro Preview lists at $2 and $12.
Is Gemini 3.1 Pro Preview or Mistral Large 3 better for coding?
Gemini 3.1 Pro Preview scores higher on coding benchmarks: 42.5 versus 34.4 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.1 Pro Preview does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 3.1 Pro Preview and Mistral Large 3 share?
23 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and Mistral Large 3 has 24.