# Gemini 3.1 Pro Preview vs Mistral Small 3.2

> Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 34× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-3-1-pro-preview-vs-mistral-small-3-2
- Last updated: 2026-10-10
- Shared benchmarks: 5

## Summary

- They share 5 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 4 categories and Mistral Small 3.2 in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 17.5.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 95.6% for Gemini 3.1 Pro Preview and 30.3% for Mistral Small 3.2.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 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 256K.
- Mistral Small 3.2 has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 3.1 Pro Preview | Mistral Small 3.2 |
|---|---|---|
| Provider | Google | Mistral AI |
| Noometry Index | 56.7 | 30.8 |
| Rank | 20 | 271 |
| Context | 1.05M | 256K |
| Input $/M | $2 | $0.0938 |
| Output $/M | $12 | $0.25 |
| Weights | Proprietary | Open |

## Coding

- Gemini 3.1 Pro Preview: 42.7 (#88)
- Mistral Small 3.2: —

| Benchmark | Gemini 3.1 Pro Preview | Mistral Small 3.2 |
|---|---|---|
| SWE-bench Verified | 75.6% | — |
| DeepSWE | 11.7% | — |
| LMArena WebDev | 1446 | — |
| SciCode | 58.9% | — |
| GSO | 22.6% | — |
| WeirdML | 72.1% | — |
| LMArena Coding | 1483 | — |
| MirrorCode | 8.9% | — |
| ALE-Bench | 1,161 | — |
| AlgoTune | 2.02 | — |

## Agentic & Tool Use

- Gemini 3.1 Pro Preview: 37.7 (#33)
- Mistral Small 3.2: —

| Benchmark | Gemini 3.1 Pro Preview | Mistral Small 3.2 |
|---|---|---|
| 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: 71.7 (#9)
- Mistral Small 3.2: 17.5 (#282)

| Benchmark | Gemini 3.1 Pro Preview | Mistral Small 3.2 |
|---|---|---|
| Chess Puzzles | 55% | 1% |
| Epoch Capabilities Index | 154.92 | 131.73 |
| ARC-AGI-2 | 77.1% | — |
| SimpleBench | 79.6% | — |
| Kagi LLM Benchmark | — | 40.4% |
| NYT Connections (extended) | 97.4% | — |
| ARC-AGI-1 | 98% | — |
| CritPt | 17.7% | — |
| EnigmaEval | 36.8% | — |
| Thematic Generalization | 79.4% | — |
| EBR-Bench | 14.3% | — |
| LMArena Hard Prompts | 1484 | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 97.1% | — |
| LMCA | 53.8% | — |
| ForecastBench | 59 | — |

## Math

- Gemini 3.1 Pro Preview: 61.8 (#28)
- Mistral Small 3.2: 24.9 (#251)

| Benchmark | Gemini 3.1 Pro Preview | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 95.6% | 30.3% |
| FrontierMath (Tiers 1-3) | 59.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 86.5% | — |
| ProofBench | 26% | — |
| LMArena Math | 1485 | — |
| FrontierMath (Feb 2025 set) | 36.9% | — |
| FrontierMath Tier 4 (v1) | 16.7% | — |

## Knowledge

- Gemini 3.1 Pro Preview: 71.8 (#3)
- Mistral Small 3.2: 26.8 (#249)

| Benchmark | Gemini 3.1 Pro Preview | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | 94.4% | 49.1% |
| Humanity's Last Exam | 46.4% | — |
| SimpleQA Verified | 73.5% | — |
| Vectara Hallucination Rate | 10.4% | — |
| LMArena Expert | 1484 | — |

## Multimodal

- Gemini 3.1 Pro Preview: 38.1 (#60)
- Mistral Small 3.2: —

| Benchmark | Gemini 3.1 Pro Preview | Mistral Small 3.2 |
|---|---|---|
| LMArena Vision | 1296 | — |
| Blueprint-Bench 2 | 26.5% | — |
| Furniture Assembly | 26.7% | — |
| LMArena Document | 1444 | — |

## Multilingual

- Gemini 3.1 Pro Preview: 57.1 (#11)
- Mistral Small 3.2: —

| Benchmark | Gemini 3.1 Pro Preview | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1475 | — |
| LMArena Chinese | 1528 | — |
| LMArena French | 1488 | — |
| LMArena German | 1491 | — |
| LMArena Japanese | 1494 | — |
| LMArena Korean | 1458 | — |
| LMArena Russian | 1496 | — |
| LMArena Spanish | 1480 | — |

## Instruction Following

- Gemini 3.1 Pro Preview: 77.1 (#31)
- Mistral Small 3.2: —

| Benchmark | Gemini 3.1 Pro Preview | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1465 | — |

## Long Context

- Gemini 3.1 Pro Preview: 47.3 (#17)
- Mistral Small 3.2: —

| Benchmark | Gemini 3.1 Pro Preview | Mistral Small 3.2 |
|---|---|---|
| CL-bench | 20.8% | — |
| CL-bench Life | 16.9% | — |
| LMArena Longer Query | 1482 | — |

## Writing & Preference

- Gemini 3.1 Pro Preview: 66.3 (#36)
- Mistral Small 3.2: 45.1 (#219)

| Benchmark | Gemini 3.1 Pro Preview | Mistral Small 3.2 |
|---|---|---|
| EQ-Bench Creative Writing | 1491 | 1255 |
| LMArena Text | 1480 | — |
| LMArena Creative Writing | 1482 | — |
| EQ-Bench 4 | 1142 | — |
| LMArena Multi-Turn | 1486 | — |

## FAQ

### Is Gemini 3.1 Pro Preview better than Mistral Small 3.2?

Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 34× 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 Small 3.2?

Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 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 256K.

### How many benchmarks do Gemini 3.1 Pro Preview and Mistral Small 3.2 share?

5 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and Mistral Small 3.2 has 6.