# Gemini 2.0 Flash (Feb 2025) vs Mixtral 8x7B

> Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 34.8 to 26.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-2-0-flash-vs-mixtral-8x7b
- Last updated: 2026-10-10
- Shared benchmarks: 27

## Summary

- They share 27 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 6 categories and Mixtral 8x7B in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Gemini 2.0 Flash (Feb 2025) leads 74.6 to 51.2.
- The biggest single-benchmark swing is MATH Level 5: 82.2% for Gemini 2.0 Flash (Feb 2025) and 10% for Mixtral 8x7B.
- Mixtral 8x7B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 2.0 Flash (Feb 2025) | Mixtral 8x7B |
|---|---|---|
| Provider | Google | Mistral AI |
| Noometry Index | 34.8 | 26.8 |
| Rank | 223 | 328 |
| Context | — | 32K |
| Input $/M | — | $0.70 |
| Output $/M | — | $0.70 |
| Weights | Proprietary | Open |

## Coding

- Gemini 2.0 Flash (Feb 2025): 28.2 (#308)
- Mixtral 8x7B: 32.2 (#265)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mixtral 8x7B |
|---|---|---|
| LMArena Coding | 1351 | 1127 |
| SWE-bench Verified (bash only) | 13.5% | — |
| Aider Polyglot | 38.2% | — |
| WeirdML | 25.8% | — |
| BigCodeBench Instruct | 45.9% | — |
| LiveBench Coding | 63.4% | — |
| BigCodeBench Complete | 59.9% | — |
| CadEval | 30% | — |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |

## Agentic & Tool Use

- Gemini 2.0 Flash (Feb 2025): 28.0 (#85)
- Mixtral 8x7B: —

| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mixtral 8x7B |
|---|---|---|
| TheAgentCompany | 11.4% | — |

## Reasoning

- Gemini 2.0 Flash (Feb 2025): 15.2 (#308)
- Mixtral 8x7B: 17.4 (#283)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mixtral 8x7B |
|---|---|---|
| LMArena Hard Prompts | 1346 | 1115 |
| DTBench | 63.2% | 49.6% |
| Epoch Capabilities Index | 135.36 | 118.38 |
| ARC-AGI-2 | 1.3% | — |
| SimpleBench | 31.1% | — |
| Kagi LLM Benchmark | 37.8% | — |
| EnigmaEval | 1.1% | — |
| LiveBench Reasoning | 78.2% | — |
| LiveBench Data Analysis | 69.4% | — |
| Adversarial NLI | — | 55.2% |
| ForecastBench | — | 56.3 |
| HellaSwag | — | 86.7% |
| LiveBench | 66.9% | — |
| PIQA | — | 83.6% |
| WinoGrande | — | 77.2% |

## Math

- Gemini 2.0 Flash (Feb 2025): 36.1 (#127)
- Mixtral 8x7B: 17.2 (#284)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mixtral 8x7B |
|---|---|---|
| Omni-MATH | 45.9% | 10.5% |
| LMArena Math | 1351 | 1147 |
| MATH Level 5 | 82.2% | 10% |
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| LiveBench Math | 75.8% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
| GSM8K | — | 74.4% |

## Knowledge

- Gemini 2.0 Flash (Feb 2025): 32.0 (#207)
- Mixtral 8x7B: 11.0 (#296)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mixtral 8x7B |
|---|---|---|
| GPQA Diamond | 64.1% | 30.6% |
| MMLU-Pro | 73.7% | 33.5% |
| GPQA (HELM) | 55.6% | 29.6% |
| LMArena Expert | 1340 | 1088 |
| MMLU | 79.7% | 70.6% |
| Humanity's Last Exam | 6.6% | — |
| Confabulations | 12.4% | — |
| ARC (AI2) Challenge | — | 87.3% |
| OpenBookQA | — | 85.8% |
| TriviaQA | — | 82.2% |

## Multimodal

- Gemini 2.0 Flash (Feb 2025): 35.9 (#74)
- Mixtral 8x7B: —

| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mixtral 8x7B |
|---|---|---|
| LMArena Vision | 1158 | — |
| GeoBench | 77% | — |

## Multilingual

- Gemini 2.0 Flash (Feb 2025): 47.6 (#144)
- Mixtral 8x7B: 29.8 (#261)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | 1342 | 1077 |
| LMArena Chinese | 1373 | 1055 |
| LMArena French | 1390 | 1165 |
| LMArena German | 1354 | 1114 |
| LMArena Japanese | 1293 | 931 |
| LMArena Korean | 1314 | 968 |
| LMArena Russian | 1351 | 1090 |
| LMArena Spanish | 1363 | 1110 |

## Instruction Following

- Gemini 2.0 Flash (Feb 2025): 74.6 (#91)
- Mixtral 8x7B: 51.2 (#292)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mixtral 8x7B |
|---|---|---|
| IFEval | 84.1% | 57.5% |
| LMArena Instruction Following | 1336 | 1110 |
| LiveBench Instruction Following | 85.8% | — |

## Long Context

- Gemini 2.0 Flash (Feb 2025): 38.1 (#198)
- Mixtral 8x7B: 33.4 (#255)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | 1345 | 1103 |
| Fiction.LiveBench | 61.1% | — |

## Writing & Preference

- Gemini 2.0 Flash (Feb 2025): 49.8 (#184)
- Mixtral 8x7B: 34.4 (#265)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mixtral 8x7B |
|---|---|---|
| LMArena Text | 1354 | 1132 |
| LMArena Creative Writing | 1340 | 1109 |
| WildBench | 80% | 67.3% |
| LMArena Multi-Turn | 1350 | 1115 |
| Short-Story Creative Writing | 73.8% | — |
| EQ-Bench Creative Writing | 1128 | — |
| LiveBench Language | 51.3% | — |

## FAQ

### Is Gemini 2.0 Flash (Feb 2025) better than Mixtral 8x7B?

Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 34.8 to 26.8 on the Noometry Index.

### Is Gemini 2.0 Flash (Feb 2025) or Mixtral 8x7B better for coding?

Mixtral 8x7B scores higher on coding benchmarks: 32.2 versus 28.2 in the Noometry coding category.

### How many benchmarks do Gemini 2.0 Flash (Feb 2025) and Mixtral 8x7B share?

27 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and Mixtral 8x7B has 38.