# Gemini 2.5 Flash vs Mixtral 8x7B

> Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 27.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-2-5-flash-vs-mixtral-8x7b
- Last updated: 2026-10-11
- Shared benchmarks: 25

## Summary

- They share 25 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 7 categories and Mixtral 8x7B in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 2.5 Flash leads 36.4 to 11.0.
- The biggest single-benchmark swing is IFEval: 89.8% for Gemini 2.5 Flash and 57.5% for Mixtral 8x7B.
- Mixtral 8x7B is cheaper at $0.70 / $0.70 per million input/output tokens, against $0.30 / $2.50 for Gemini 2.5 Flash.
- Gemini 2.5 Flash accepts more context: 1.05M tokens versus 32K.
- Mixtral 8x7B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 2.5 Flash | Mixtral 8x7B |
|---|---|---|
| Provider | Google | Mistral AI |
| Noometry Index | 39.3 | 27.1 |
| Rank | 170 | 334 |
| Context | 1.05M | 32K |
| Input $/M | $0.30 | $0.70 |
| Output $/M | $2.50 | $0.70 |
| Weights | Proprietary | Open |

## Coding

- Gemini 2.5 Flash: 35.8 (#220)
- Mixtral 8x7B: 32.8 (#269)

| Benchmark | Gemini 2.5 Flash | Mixtral 8x7B |
|---|---|---|
| LMArena Coding | 1424 | 1126 |
| SWE-bench Verified (bash only) | 28.7% | — |
| Aider Polyglot | 55.1% | — |
| WeirdML | 41.9% | — |
| ALE-Bench | 661.88 | — |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |

## Agentic & Tool Use

- Gemini 2.5 Flash: 30.8 (#74)
- Mixtral 8x7B: —

| Benchmark | Gemini 2.5 Flash | Mixtral 8x7B |
|---|---|---|
| Terminal-Bench | 17.1% | — |
| Berkeley Function Calling Leaderboard | 56.2% | — |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| Vending-Bench 2 | 548.84 | — |

## Reasoning

- Gemini 2.5 Flash: 18.1 (#286)
- Mixtral 8x7B: 18.2 (#285)

| Benchmark | Gemini 2.5 Flash | Mixtral 8x7B |
|---|---|---|
| LMArena Hard Prompts | 1422 | 1115 |
| DTBench | 76.5% | 49.6% |
| Epoch Capabilities Index | 143.03 | 118.47 |
| ForecastBench | 60.6 | 56.3 |
| ARC-AGI-2 | 2.5% | — |
| SimpleBench | 41.2% | — |
| Kagi LLM Benchmark | 56.8% | — |
| ARC-AGI-1 | 33.3% | — |
| CritPt | 1.1% | — |
| EnigmaEval | 2.7% | — |
| LMCA | 27.5% | — |
| Adversarial NLI | — | 55.2% |
| HellaSwag | — | 86.7% |
| PIQA | — | 83.6% |
| WinoGrande | — | 77.2% |

## Math

- Gemini 2.5 Flash: 39.9 (#98)
- Mixtral 8x7B: 18.8 (#289)

| Benchmark | Gemini 2.5 Flash | Mixtral 8x7B |
|---|---|---|
| Omni-MATH | 38.5% | 10.5% |
| LMArena Math | 1415 | 1147 |
| OTIS Mock AIME 2024-2025 | 73.1% | — |
| MATH Level 5 | — | 10% |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
| GSM8K | — | 74.4% |

## Knowledge

- Gemini 2.5 Flash: 36.4 (#168)
- Mixtral 8x7B: 11.0 (#301)

| Benchmark | Gemini 2.5 Flash | Mixtral 8x7B |
|---|---|---|
| MMLU-Pro | 63.9% | 33.5% |
| GPQA (HELM) | 39% | 29.6% |
| LMArena Expert | 1426 | 1088 |
| GPQA Diamond | — | 30.6% |
| Humanity's Last Exam | 12.1% | — |
| Confabulations | 16.8% | — |
| Vectara Hallucination Rate | 7.8% | — |
| ARC (AI2) Challenge | — | 87.3% |
| MMLU | — | 70.6% |
| OpenBookQA | — | 85.8% |
| TriviaQA | — | 82.2% |

## Multimodal

- Gemini 2.5 Flash: 41.8 (#32)
- Mixtral 8x7B: —

| Benchmark | Gemini 2.5 Flash | Mixtral 8x7B |
|---|---|---|
| LMArena Vision | 1253 | — |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| SpatialViz-Bench | 36.9% | — |

## Multilingual

- Gemini 2.5 Flash: 52.3 (#88)
- Mixtral 8x7B: 29.6 (#266)

| Benchmark | Gemini 2.5 Flash | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | 1409 | 1077 |
| LMArena Chinese | 1450 | 1055 |
| LMArena French | 1433 | 1166 |
| LMArena German | 1418 | 1114 |
| LMArena Japanese | 1405 | 931 |
| LMArena Korean | 1385 | 968 |
| LMArena Russian | 1415 | 1090 |
| LMArena Spanish | 1421 | 1111 |

## Instruction Following

- Gemini 2.5 Flash: 75.7 (#54)
- Mixtral 8x7B: 51.0 (#297)

| Benchmark | Gemini 2.5 Flash | Mixtral 8x7B |
|---|---|---|
| IFEval | 89.8% | 57.5% |
| LMArena Instruction Following | 1405 | 1109 |

## Long Context

- Gemini 2.5 Flash: 47.5 (#17)
- Mixtral 8x7B: 33.4 (#260)

| Benchmark | Gemini 2.5 Flash | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | 1419 | 1103 |
| Fiction.LiveBench | 77.8% | — |

## Writing & Preference

- Gemini 2.5 Flash: 53.8 (#157)
- Mixtral 8x7B: 34.2 (#270)

| Benchmark | Gemini 2.5 Flash | Mixtral 8x7B |
|---|---|---|
| LMArena Text | 1417 | 1132 |
| LMArena Creative Writing | 1400 | 1109 |
| WildBench | 81.7% | 67.3% |
| LMArena Multi-Turn | 1408 | 1115 |
| Short-Story Creative Writing | 76.5% | — |
| EQ-Bench Creative Writing | 1137 | — |

## FAQ

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

Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 27.1 on the Noometry Index.

### Which is cheaper, Gemini 2.5 Flash 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 Flash lists at $0.30 and $2.50.

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

Gemini 2.5 Flash scores higher on coding benchmarks: 35.8 versus 32.8 in the Noometry coding category.

### Which has the bigger context window?

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

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

25 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and Mixtral 8x7B has 38.