# Gemini 3.8 Flash vs Mixtral 8x22B

> Gemini 3.8 Flash is the stronger model overall, scoring 59.5 to 26.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-3-8-flash-vs-mixtral-8x22b
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. Gemini 3.8 Flash 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 3.8 Flash leads 74.9 to 15.1.
- The biggest single-benchmark swing is GPQA Diamond: 95.4% for Gemini 3.8 Flash and 34.1% for Mixtral 8x22B.
- Gemini 3.8 Flash is cheaper at $0.75 / $3.75 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
- Gemini 3.8 Flash accepts more context: 1.05M tokens versus 64K.
- Mixtral 8x22B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 3.8 Flash | Mixtral 8x22B |
|---|---|---|
| Provider | Google | Mistral AI |
| Noometry Index | 59.5 | 26.7 |
| Rank | 13 | 330 |
| Context | 1.05M | 64K |
| Input $/M | $0.75 | $2 |
| Output $/M | $3.75 | $6 |
| Weights | Proprietary | Open |

## Coding

- Gemini 3.8 Flash: 56.4 (#17)
- Mixtral 8x22B: 23.8 (#324)

| Benchmark | Gemini 3.8 Flash | Mixtral 8x22B |
|---|---|---|
| LMArena Coding | 1512 | 1166 |
| DeepSWE | 73.8% | — |
| FrontierCode | 41.2% | — |
| CursorBench | 39.6% | — |
| LMArena WebDev | 1581 | — |
| FrontierSWE | 19.6% | — |
| SciCode | 56.6% | — |
| WeirdML | — | 3.2% |
| BigCodeBench Instruct | — | 40.6% |
| BigCodeBench Complete | — | 50.2% |
| ALE-Bench | 1,270 | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |

## Agentic & Tool Use

- Gemini 3.8 Flash: 40.3 (#22)
- Mixtral 8x22B: 22.8 (#119)

| Benchmark | Gemini 3.8 Flash | Mixtral 8x22B |
|---|---|---|
| APEX-Agents | 64.3% | — |
| Cybench | — | 7.5% |
| GDP.pdf | 23.4% | — |
| Vending-Bench 2 | 5,094 | — |

## Reasoning

- Gemini 3.8 Flash: 64.7 (#13)
- Mixtral 8x22B: 19.1 (#246)

| Benchmark | Gemini 3.8 Flash | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | 1506 | 1150 |
| DTBench | 95.7% | 55.1% |
| Epoch Capabilities Index | 157.13 | 122 |
| NYT Connections (extended) | 97.4% | — |
| CritPt | 18.3% | — |
| Chess Puzzles | 61% | — |
| Mystery Game Puzzles | 47% | — |
| LMCA | 52.9% | — |
| Surface Evolver Bench | 76.9% | — |
| ForecastBench | — | 56.3 |

## Math

- Gemini 3.8 Flash: 65.2 (#22)
- Mixtral 8x22B: 21.2 (#271)

| Benchmark | Gemini 3.8 Flash | Mixtral 8x22B |
|---|---|---|
| LMArena Math | 1528 | 1184 |
| FrontierMath (Tiers 1-3) | 68.4% | — |
| FrontierMath Tier 4 | 22% | — |
| OTIS Mock AIME 2024-2025 | 98.9% | — |
| ProofBench | 48% | — |
| Omni-MATH | — | 16.3% |
| MATH Level 5 | — | 24.2% |

## Knowledge

- Gemini 3.8 Flash: 74.9 (#2)
- Mixtral 8x22B: 15.1 (#288)

| Benchmark | Gemini 3.8 Flash | Mixtral 8x22B |
|---|---|---|
| GPQA Diamond | 95.4% | 34.1% |
| LMArena Expert | 1529 | 1113 |
| Humanity's Last Exam | 44.5% | — |
| SimpleQA Verified | 69.7% | — |
| MMLU-Pro | — | 46% |
| GPQA (HELM) | — | 33.4% |
| MMLU | — | 77.8% |

## Multimodal

- Gemini 3.8 Flash: 40.9 (#33)
- Mixtral 8x22B: —

| Benchmark | Gemini 3.8 Flash | Mixtral 8x22B |
|---|---|---|
| LMArena Vision | 1312 | — |
| Blueprint-Bench 2 | 38.6% | — |
| Furniture Assembly | 31.7% | — |

## Multilingual

- Gemini 3.8 Flash: 57.9 (#5)
- Mixtral 8x22B: 32.9 (#250)

| Benchmark | Gemini 3.8 Flash | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | 1486 | 1128 |
| LMArena Chinese | 1547 | 1116 |
| LMArena French | 1502 | 1165 |
| LMArena German | 1470 | 1141 |
| LMArena Japanese | 1505 | 1037 |
| LMArena Korean | 1479 | 1056 |
| LMArena Russian | 1507 | 1158 |
| LMArena Spanish | 1492 | 1150 |

## Instruction Following

- Gemini 3.8 Flash: 78.2 (#11)
- Mixtral 8x22B: 57.9 (#261)

| Benchmark | Gemini 3.8 Flash | Mixtral 8x22B |
|---|---|---|
| LMArena Instruction Following | 1489 | 1147 |
| IFEval | — | 72.4% |

## Long Context

- Gemini 3.8 Flash: 46.2 (#23)
- Mixtral 8x22B: 34.6 (#242)

| Benchmark | Gemini 3.8 Flash | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | 1506 | 1144 |

## Writing & Preference

- Gemini 3.8 Flash: 72.1 (#16)
- Mixtral 8x22B: 37.1 (#257)

| Benchmark | Gemini 3.8 Flash | Mixtral 8x22B |
|---|---|---|
| LMArena Text | 1494 | 1162 |
| LMArena Creative Writing | 1485 | 1141 |
| LMArena Multi-Turn | 1503 | 1130 |
| EQ-Bench Creative Writing | 1748 | — |
| WildBench | — | 71.1% |

## FAQ

### Is Gemini 3.8 Flash better than Mixtral 8x22B?

Gemini 3.8 Flash is the stronger model overall, scoring 59.5 to 26.7 on the Noometry Index.

### Which is cheaper, Gemini 3.8 Flash or Mixtral 8x22B?

Gemini 3.8 Flash is cheaper. It lists at $0.75 per million input tokens and $3.75 per million output tokens; Mixtral 8x22B lists at $2 and $6.

### Is Gemini 3.8 Flash or Mixtral 8x22B better for coding?

Gemini 3.8 Flash scores higher on coding benchmarks: 56.4 versus 23.8 in the Noometry coding category.

### Which has the bigger context window?

Gemini 3.8 Flash does, with 1.05M tokens against 64K.

### How many benchmarks do Gemini 3.8 Flash and Mixtral 8x22B share?

20 benchmarks have published results for both models. Gemini 3.8 Flash has 46 scored results on Noometry and Mixtral 8x22B has 34.