# Gemini 2.5 Pro vs Mixtral 8x7B

> Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 27.1 on the Noometry Index. Mixtral 8x7B costs 4.9× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-2-5-pro-vs-mixtral-8x7b
- Last updated: 2026-10-10
- Shared benchmarks: 27

## Summary

- They share 27 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 8 categories and Mixtral 8x7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 2.5 Pro leads 56.0 to 11.0.
- The biggest single-benchmark swing is MATH Level 5: 95.9% for Gemini 2.5 Pro and 10% for Mixtral 8x7B.
- Mixtral 8x7B is cheaper at $0.70 / $0.70 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
- Gemini 2.5 Pro accepts more context: 1.05M tokens versus 32K.
- Mixtral 8x7B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 2.5 Pro | Mixtral 8x7B |
|---|---|---|
| Provider | Google | Mistral AI |
| Noometry Index | 45.0 | 27.1 |
| Rank | 75 | 334 |
| Context | 1.05M | 32K |
| Input $/M | $1.25 | $0.70 |
| Output $/M | $10 | $0.70 |
| Weights | Proprietary | Open |

## Coding

- Gemini 2.5 Pro: 42.4 (#101)
- Mixtral 8x7B: 32.8 (#269)

| Benchmark | Gemini 2.5 Pro | Mixtral 8x7B |
|---|---|---|
| LMArena Coding | 1452 | 1126 |
| SWE-bench Verified | 57.6% | — |
| SWE-bench Verified (bash only) | 53.6% | — |
| Aider Polyglot | 83.1% | — |
| LMArena WebDev | 1227 | — |
| SciCode | 42.8% | — |
| GSO | 3.9% | — |
| WeirdML | 54% | — |
| LiveBench Coding | 85.9% | — |
| CadEval | 64% | — |
| ALE-Bench | 785.52 | — |
| AlgoTune | 1.51 | — |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |

## Agentic & Tool Use

- Gemini 2.5 Pro: 29.2 (#88)
- Mixtral 8x7B: —

| Benchmark | Gemini 2.5 Pro | Mixtral 8x7B |
|---|---|---|
| Terminal-Bench | 32.6% | — |
| GDPval | 23.3% | — |
| Remote Labor Index | 0.8% | — |
| TheAgentCompany | 30.3% | — |
| τ²-bench Banking | 13.7% | — |
| DeepResearch Bench | 42.8% | — |
| BALROG | 43.3% | — |
| LMArena Search | 1142 | — |
| METR Time Horizons | 55.4% | — |
| Vending-Bench 2 | 573.64 | — |

## Reasoning

- Gemini 2.5 Pro: 28.8 (#99)
- Mixtral 8x7B: 18.2 (#285)

| Benchmark | Gemini 2.5 Pro | Mixtral 8x7B |
|---|---|---|
| LMArena Hard Prompts | 1455 | 1115 |
| DTBench | 82.4% | 49.6% |
| Epoch Capabilities Index | 145.32 | 118.47 |
| ForecastBench | 61.3 | 56.3 |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 62.4% | — |
| Kagi LLM Benchmark | 70.3% | — |
| ARC-AGI-1 | 41% | — |
| CritPt | 2% | — |
| Chess Puzzles | 20% | — |
| EnigmaEval | 5.6% | — |
| LiveBench Reasoning | 89.8% | — |
| LiveBench Data Analysis | 79.9% | — |
| LMCA | 34.8% | — |
| Adversarial NLI | — | 55.2% |
| HellaSwag | — | 86.7% |
| LiveBench | 82.3% | — |
| PIQA | — | 83.6% |
| WinoGrande | — | 77.2% |

## Math

- Gemini 2.5 Pro: 32.5 (#213)
- Mixtral 8x7B: 18.8 (#289)

| Benchmark | Gemini 2.5 Pro | Mixtral 8x7B |
|---|---|---|
| Omni-MATH | 41.6% | 10.5% |
| LMArena Math | 1450 | 1147 |
| MATH Level 5 | 95.9% | 10% |
| FrontierMath (Tiers 1-3) | 24.6% | — |
| FrontierMath Tier 4 | 0% | — |
| OTIS Mock AIME 2024-2025 | 84.7% | — |
| LiveBench Math | 90.2% | — |
| FrontierMath (Feb 2025 set) | 14.1% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
| GSM8K | — | 74.4% |

## Knowledge

- Gemini 2.5 Pro: 56.0 (#46)
- Mixtral 8x7B: 11.0 (#301)

| Benchmark | Gemini 2.5 Pro | Mixtral 8x7B |
|---|---|---|
| GPQA Diamond | 85.3% | 30.6% |
| MMLU-Pro | 86.3% | 33.5% |
| GPQA (HELM) | 74.9% | 29.6% |
| LMArena Expert | 1452 | 1088 |
| Humanity's Last Exam | 21.6% | — |
| Confabulations | 10.6% | — |
| Vectara Hallucination Rate | 7% | — |
| ARC (AI2) Challenge | — | 87.3% |
| MMLU | — | 70.6% |
| OpenBookQA | — | 85.8% |
| TriviaQA | — | 82.2% |

## Multimodal

- Gemini 2.5 Pro: 45.2 (#18)
- Mixtral 8x7B: —

| Benchmark | Gemini 2.5 Pro | Mixtral 8x7B |
|---|---|---|
| LMArena Vision | 1263 | — |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| LMArena Document | 1421 | — |
| SpatialViz-Bench | 44.7% | — |

## Multilingual

- Gemini 2.5 Pro: 55.3 (#31)
- Mixtral 8x7B: 29.6 (#266)

| Benchmark | Gemini 2.5 Pro | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | 1451 | 1077 |
| LMArena Chinese | 1507 | 1055 |
| LMArena French | 1472 | 1166 |
| LMArena German | 1487 | 1114 |
| LMArena Japanese | 1461 | 931 |
| LMArena Korean | 1434 | 968 |
| LMArena Russian | 1461 | 1090 |
| LMArena Spanish | 1473 | 1111 |

## Instruction Following

- Gemini 2.5 Pro: 75.0 (#75)
- Mixtral 8x7B: 51.0 (#297)

| Benchmark | Gemini 2.5 Pro | Mixtral 8x7B |
|---|---|---|
| IFEval | 84% | 57.5% |
| LMArena Instruction Following | 1437 | 1109 |
| LiveBench Instruction Following | 80.6% | — |

## Long Context

- Gemini 2.5 Pro: 59.8 (#5)
- Mixtral 8x7B: 33.4 (#260)

| Benchmark | Gemini 2.5 Pro | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | 1449 | 1103 |
| Fiction.LiveBench | 91.7% | — |

## Writing & Preference

- Gemini 2.5 Pro: 63.7 (#62)
- Mixtral 8x7B: 34.2 (#270)

| Benchmark | Gemini 2.5 Pro | Mixtral 8x7B |
|---|---|---|
| LMArena Text | 1458 | 1132 |
| LMArena Creative Writing | 1454 | 1109 |
| WildBench | 85.7% | 67.3% |
| LMArena Multi-Turn | 1453 | 1115 |
| Short-Story Creative Writing | 83.8% | — |
| EQ-Bench Creative Writing | 1421 | — |
| LiveBench Language | 67.8% | — |

## FAQ

### Is Gemini 2.5 Pro better than Mixtral 8x7B?

Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 27.1 on the Noometry Index. Mixtral 8x7B costs 4.9× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.

### Which is cheaper, Gemini 2.5 Pro or Mixtral 8x7B?

Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.

### Is Gemini 2.5 Pro or Mixtral 8x7B better for coding?

Gemini 2.5 Pro scores higher on coding benchmarks: 42.4 versus 32.8 in the Noometry coding category.

### Which has the bigger context window?

Gemini 2.5 Pro does, with 1.05M tokens against 32K.

### How many benchmarks do Gemini 2.5 Pro and Mixtral 8x7B share?

27 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Mixtral 8x7B has 38.