# Gemini 3.1 Pro Preview vs Mistral 7B

> Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 23.0 on the Noometry Index. Mistral 7B costs 18× 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-7b
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 8 categories and Mistral 7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 3.1 Pro Preview leads 71.8 to 7.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 95.6% for Gemini 3.1 Pro Preview and 0.3% for Mistral 7B.
- Mistral 7B is cheaper at $0.25 / $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 8K.
- Mistral 7B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 3.1 Pro Preview | Mistral 7B |
|---|---|---|
| Provider | Google | Mistral AI |
| Noometry Index | 56.7 | 23.0 |
| Rank | 23 | 351 |
| Context | 1.05M | 8K |
| Input $/M | $2 | $0.25 |
| Output $/M | $12 | $0.25 |
| Weights | Proprietary | Open |

## Coding

- Gemini 3.1 Pro Preview: 42.5 (#99)
- Mistral 7B: 26.4 (#326)

| Benchmark | Gemini 3.1 Pro Preview | Mistral 7B |
|---|---|---|
| LMArena Coding | 1484 | 1082 |
| SWE-bench Verified | 75.6% | — |
| DeepSWE | 11.7% | — |
| LMArena WebDev | 1447 | — |
| SciCode | 58.9% | — |
| GSO | 22.6% | — |
| WeirdML | 72.1% | — |
| BigCodeBench Instruct | — | 19.5% |
| MirrorCode | 8.9% | — |
| BigCodeBench Complete | — | 27.3% |
| ALE-Bench | 1,161 | — |
| AlgoTune | 2.02 | — |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |

## Agentic & Tool Use

- Gemini 3.1 Pro Preview: 37.7 (#34)
- Mistral 7B: —

| Benchmark | Gemini 3.1 Pro Preview | Mistral 7B |
|---|---|---|
| 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 (#12)
- Mistral 7B: 13.1 (#336)

| Benchmark | Gemini 3.1 Pro Preview | Mistral 7B |
|---|---|---|
| Chess Puzzles | 55% | 0% |
| LMArena Hard Prompts | 1485 | 1067 |
| DTBench | 97.1% | 42.5% |
| Epoch Capabilities Index | 154.77 | 112.21 |
| ARC-AGI-2 | 77.1% | — |
| SimpleBench | 79.6% | — |
| NYT Connections (extended) | 97.4% | — |
| ARC-AGI-1 | 98% | — |
| CritPt | 17.7% | — |
| EnigmaEval | 36.8% | — |
| Thematic Generalization | 79.4% | — |
| EBR-Bench | 14.3% | — |
| Mystery Game Puzzles | 34% | — |
| LMCA | 53.8% | — |
| Adversarial NLI | — | 47.1% |
| BIG-Bench Hard | — | 56.1% |
| ForecastBench | 59 | — |
| HellaSwag | — | 81% |
| PIQA | — | 83% |
| WinoGrande | — | 75.3% |

## Math

- Gemini 3.1 Pro Preview: 62.1 (#34)
- Mistral 7B: 8.1 (#325)

| Benchmark | Gemini 3.1 Pro Preview | Mistral 7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 95.6% | 0.3% |
| LMArena Math | 1485 | 1085 |
| FrontierMath (Tiers 1-3) | 59.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 86.5% | — |
| ProofBench | 26% | — |
| MATH Level 5 | — | 3.7% |
| FrontierMath (Feb 2025 set) | 36.9% | — |
| FrontierMath Tier 4 (v1) | 16.7% | — |
| GSM8K | — | 54.4% |

## Knowledge

- Gemini 3.1 Pro Preview: 71.8 (#3)
- Mistral 7B: 7.4 (#311)

| Benchmark | Gemini 3.1 Pro Preview | Mistral 7B |
|---|---|---|
| GPQA Diamond | 94.4% | 15.2% |
| LMArena Expert | 1485 | 1036 |
| Humanity's Last Exam | 46.4% | — |
| SimpleQA Verified | 73.5% | — |
| Vectara Hallucination Rate | 10.4% | — |
| ARC (AI2) Challenge | — | 78.6% |
| BoolQ | — | 87.4% |
| MMLU | — | 62.5% |
| OpenBookQA | — | 79.8% |
| TriviaQA | — | 75.2% |

## Multimodal

- Gemini 3.1 Pro Preview: 37.9 (#69)
- Mistral 7B: —

| Benchmark | Gemini 3.1 Pro Preview | Mistral 7B |
|---|---|---|
| LMArena Vision | 1296 | — |
| Blueprint-Bench 2 | 26.5% | — |
| Furniture Assembly | 26.7% | — |
| LMArena Document | 1444 | — |

## Multilingual

- Gemini 3.1 Pro Preview: 57.0 (#12)
- Mistral 7B: 25.8 (#283)

| Benchmark | Gemini 3.1 Pro Preview | Mistral 7B |
|---|---|---|
| LMArena Non-English | 1477 | 1012 |
| LMArena Chinese | 1529 | 1009 |
| LMArena French | 1487 | 1037 |
| LMArena German | 1491 | 987 |
| LMArena Japanese | 1493 | 878 |
| LMArena Russian | 1498 | 1018 |
| LMArena Spanish | 1479 | 1026 |
| LMArena Korean | 1455 | — |

## Instruction Following

- Gemini 3.1 Pro Preview: 77.0 (#32)
- Mistral 7B: 54.2 (#280)

| Benchmark | Gemini 3.1 Pro Preview | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | 1466 | 1060 |

## Long Context

- Gemini 3.1 Pro Preview: 47.4 (#18)
- Mistral 7B: 32.2 (#271)

| Benchmark | Gemini 3.1 Pro Preview | Mistral 7B |
|---|---|---|
| LMArena Longer Query | 1483 | 1060 |
| CL-bench | 20.8% | — |
| CL-bench Life | 16.9% | — |

## Writing & Preference

- Gemini 3.1 Pro Preview: 66.1 (#37)
- Mistral 7B: 30.7 (#286)

| Benchmark | Gemini 3.1 Pro Preview | Mistral 7B |
|---|---|---|
| LMArena Text | 1481 | 1090 |
| LMArena Creative Writing | 1482 | 1068 |
| LMArena Multi-Turn | 1488 | 1062 |
| EQ-Bench Creative Writing | 1491 | — |
| EQ-Bench 4 | 1142 | — |

## FAQ

### Is Gemini 3.1 Pro Preview better than Mistral 7B?

Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 23.0 on the Noometry Index. Mistral 7B costs 18× 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 7B?

Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Gemini 3.1 Pro Preview lists at $2 and $12.

### Is Gemini 3.1 Pro Preview or Mistral 7B better for coding?

Gemini 3.1 Pro Preview scores higher on coding benchmarks: 42.5 versus 26.4 in the Noometry coding category.

### Which has the bigger context window?

Gemini 3.1 Pro Preview does, with 1.05M tokens against 8K.

### How many benchmarks do Gemini 3.1 Pro Preview and Mistral 7B share?

21 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and Mistral 7B has 37.