# Gemini 3.1 Pro Preview vs Mixtral 8x22B

> Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 26.7 on the Noometry Index. Mixtral 8x22B 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.

- Canonical page: https://noometry.com/compare/gemini-3-1-pro-preview-vs-mixtral-8x22b
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 9 categories and Mixtral 8x22B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 3.1 Pro Preview leads 71.8 to 15.1.
- The biggest single-benchmark swing is WeirdML: 72.1% for Gemini 3.1 Pro Preview and 3.2% for Mixtral 8x22B.
- Mixtral 8x22B 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 64K.
- Mixtral 8x22B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 3.1 Pro Preview | Mixtral 8x22B |
|---|---|---|
| Provider | Google | Mistral AI |
| Noometry Index | 56.7 | 26.7 |
| Rank | 20 | 330 |
| Context | 1.05M | 64K |
| Input $/M | $2 | $2 |
| Output $/M | $12 | $6 |
| Weights | Proprietary | Open |

## Coding

- Gemini 3.1 Pro Preview: 42.7 (#88)
- Mixtral 8x22B: 23.8 (#324)

| Benchmark | Gemini 3.1 Pro Preview | Mixtral 8x22B |
|---|---|---|
| WeirdML | 72.1% | 3.2% |
| LMArena Coding | 1483 | 1166 |
| SWE-bench Verified | 75.6% | — |
| DeepSWE | 11.7% | — |
| LMArena WebDev | 1446 | — |
| SciCode | 58.9% | — |
| GSO | 22.6% | — |
| BigCodeBench Instruct | — | 40.6% |
| MirrorCode | 8.9% | — |
| BigCodeBench Complete | — | 50.2% |
| ALE-Bench | 1,161 | — |
| AlgoTune | 2.02 | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |

## Agentic & Tool Use

- Gemini 3.1 Pro Preview: 37.7 (#33)
- Mixtral 8x22B: 22.8 (#119)

| Benchmark | Gemini 3.1 Pro Preview | Mixtral 8x22B |
|---|---|---|
| Terminal-Bench | 80.2% | — |
| APEX-Agents | 35.3% | — |
| τ²-bench Banking | 26% | — |
| Cybench | — | 7.5% |
| 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)
- Mixtral 8x22B: 19.1 (#246)

| Benchmark | Gemini 3.1 Pro Preview | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | 1484 | 1150 |
| DTBench | 97.1% | 55.1% |
| Epoch Capabilities Index | 154.92 | 122 |
| ForecastBench | 59 | 56.3 |
| ARC-AGI-2 | 77.1% | — |
| SimpleBench | 79.6% | — |
| NYT Connections (extended) | 97.4% | — |
| ARC-AGI-1 | 98% | — |
| CritPt | 17.7% | — |
| Chess Puzzles | 55% | — |
| EnigmaEval | 36.8% | — |
| Thematic Generalization | 79.4% | — |
| EBR-Bench | 14.3% | — |
| Mystery Game Puzzles | 34% | — |
| LMCA | 53.8% | — |

## Math

- Gemini 3.1 Pro Preview: 61.8 (#28)
- Mixtral 8x22B: 21.2 (#271)

| Benchmark | Gemini 3.1 Pro Preview | Mixtral 8x22B |
|---|---|---|
| LMArena Math | 1485 | 1184 |
| 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% | — |
| Omni-MATH | — | 16.3% |
| MATH Level 5 | — | 24.2% |
| FrontierMath (Feb 2025 set) | 36.9% | — |
| FrontierMath Tier 4 (v1) | 16.7% | — |

## Knowledge

- Gemini 3.1 Pro Preview: 71.8 (#3)
- Mixtral 8x22B: 15.1 (#288)

| Benchmark | Gemini 3.1 Pro Preview | Mixtral 8x22B |
|---|---|---|
| GPQA Diamond | 94.4% | 34.1% |
| LMArena Expert | 1484 | 1113 |
| Humanity's Last Exam | 46.4% | — |
| SimpleQA Verified | 73.5% | — |
| MMLU-Pro | — | 46% |
| Vectara Hallucination Rate | 10.4% | — |
| GPQA (HELM) | — | 33.4% |
| MMLU | — | 77.8% |

## Multimodal

- Gemini 3.1 Pro Preview: 38.1 (#60)
- Mixtral 8x22B: —

| Benchmark | Gemini 3.1 Pro Preview | Mixtral 8x22B |
|---|---|---|
| LMArena Vision | 1296 | — |
| Blueprint-Bench 2 | 26.5% | — |
| Furniture Assembly | 26.7% | — |
| LMArena Document | 1444 | — |

## Multilingual

- Gemini 3.1 Pro Preview: 57.1 (#11)
- Mixtral 8x22B: 32.9 (#250)

| Benchmark | Gemini 3.1 Pro Preview | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | 1475 | 1128 |
| LMArena Chinese | 1528 | 1116 |
| LMArena French | 1488 | 1165 |
| LMArena German | 1491 | 1141 |
| LMArena Japanese | 1494 | 1037 |
| LMArena Korean | 1458 | 1056 |
| LMArena Russian | 1496 | 1158 |
| LMArena Spanish | 1480 | 1150 |

## Instruction Following

- Gemini 3.1 Pro Preview: 77.1 (#31)
- Mixtral 8x22B: 57.9 (#261)

| Benchmark | Gemini 3.1 Pro Preview | Mixtral 8x22B |
|---|---|---|
| LMArena Instruction Following | 1465 | 1147 |
| IFEval | — | 72.4% |

## Long Context

- Gemini 3.1 Pro Preview: 47.3 (#17)
- Mixtral 8x22B: 34.6 (#242)

| Benchmark | Gemini 3.1 Pro Preview | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | 1482 | 1144 |
| CL-bench | 20.8% | — |
| CL-bench Life | 16.9% | — |

## Writing & Preference

- Gemini 3.1 Pro Preview: 66.3 (#36)
- Mixtral 8x22B: 37.1 (#257)

| Benchmark | Gemini 3.1 Pro Preview | Mixtral 8x22B |
|---|---|---|
| LMArena Text | 1480 | 1162 |
| LMArena Creative Writing | 1482 | 1141 |
| LMArena Multi-Turn | 1486 | 1130 |
| EQ-Bench Creative Writing | 1491 | — |
| WildBench | — | 71.1% |
| EQ-Bench 4 | 1142 | — |

## FAQ

### Is Gemini 3.1 Pro Preview better than Mixtral 8x22B?

Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 26.7 on the Noometry Index. Mixtral 8x22B 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 Mixtral 8x22B?

Mixtral 8x22B 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.

### Is Gemini 3.1 Pro Preview or Mixtral 8x22B better for coding?

Gemini 3.1 Pro Preview scores higher on coding benchmarks: 42.7 versus 23.8 in the Noometry coding category.

### Which has the bigger context window?

Gemini 3.1 Pro Preview does, with 1.05M tokens against 64K.

### How many benchmarks do Gemini 3.1 Pro Preview and Mixtral 8x22B share?

22 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and Mixtral 8x22B has 34.