# Mixtral 8x7B vs Qwen3-Coder 480B-A35B Instruct

> Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 37.7 to 26.8 on the Noometry Index. Mixtral 8x7B costs 4.3× less per token, which makes it the better buy when Qwen3-Coder 480B-A35B Instruct's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/mixtral-8x7b-vs-qwen3-coder-480b-a35b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Mixtral 8x7B scores higher in 0 categories and Qwen3-Coder 480B-A35B Instruct in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3-Coder 480B-A35B Instruct leads 36.4 to 11.0.
- Mixtral 8x7B is cheaper at $0.70 / $0.70 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
- Qwen3-Coder 480B-A35B Instruct accepts more context: 262K tokens versus 32K.

## Snapshot

| | Mixtral 8x7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 26.8 | 37.7 |
| Rank | 328 | 186 |
| Context | 32K | 262K |
| Input $/M | $0.70 | $1.50 |
| Output $/M | $0.70 | $7.50 |
| Weights | Open | Open |

## Coding

- Mixtral 8x7B: 32.2 (#265)
- Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)

| Benchmark | Mixtral 8x7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Coding | 1127 | 1413 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |
| HumanEval+ | 39.6% | — |
| MBPP+ | 49.7% | — |

## Agentic & Tool Use

- Mixtral 8x7B: —
- Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)

| Benchmark | Mixtral 8x7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |

## Reasoning

- Mixtral 8x7B: 17.4 (#283)
- Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)

| Benchmark | Mixtral 8x7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1115 | 1372 |
| Kagi LLM Benchmark | — | 49.5% |
| DTBench | 49.6% | — |
| Adversarial NLI | 55.2% | — |
| Epoch Capabilities Index | 118.38 | — |
| ForecastBench | 56.3 | — |
| HellaSwag | 86.7% | — |
| PIQA | 83.6% | — |
| WinoGrande | 77.2% | — |

## Math

- Mixtral 8x7B: 17.2 (#284)
- Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)

| Benchmark | Mixtral 8x7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1147 | 1364 |
| Omni-MATH | 10.5% | — |
| MATH Level 5 | 10% | — |
| GSM8K | 74.4% | — |

## Knowledge

- Mixtral 8x7B: 11.0 (#296)
- Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)

| Benchmark | Mixtral 8x7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1088 | 1337 |
| GPQA Diamond | 30.6% | — |
| MMLU-Pro | 33.5% | — |
| GPQA (HELM) | 29.6% | — |
| ARC (AI2) Challenge | 87.3% | — |
| MMLU | 70.6% | — |
| OpenBookQA | 85.8% | — |
| TriviaQA | 82.2% | — |

## Multilingual

- Mixtral 8x7B: 29.8 (#261)
- Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)

| Benchmark | Mixtral 8x7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1077 | 1345 |
| LMArena Chinese | 1055 | 1356 |
| LMArena French | 1165 | 1394 |
| LMArena German | 1114 | 1324 |
| LMArena Japanese | 931 | 1309 |
| LMArena Korean | 968 | 1307 |
| LMArena Russian | 1090 | 1367 |
| LMArena Spanish | 1110 | 1360 |

## Instruction Following

- Mixtral 8x7B: 51.2 (#292)
- Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)

| Benchmark | Mixtral 8x7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1110 | 1356 |
| IFEval | 57.5% | — |

## Long Context

- Mixtral 8x7B: 33.4 (#255)
- Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)

| Benchmark | Mixtral 8x7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1103 | 1379 |

## Writing & Preference

- Mixtral 8x7B: 34.4 (#265)
- Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)

| Benchmark | Mixtral 8x7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1132 | 1356 |
| LMArena Creative Writing | 1109 | 1333 |
| LMArena Multi-Turn | 1115 | 1365 |
| WildBench | 67.3% | — |

## FAQ

### Is Mixtral 8x7B better than Qwen3-Coder 480B-A35B Instruct?

Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 37.7 to 26.8 on the Noometry Index. Mixtral 8x7B costs 4.3× less per token, which makes it the better buy when Qwen3-Coder 480B-A35B Instruct's lead doesn't matter for your workload.

### Which is cheaper, Mixtral 8x7B or Qwen3-Coder 480B-A35B Instruct?

Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.

### Is Mixtral 8x7B or Qwen3-Coder 480B-A35B Instruct better for coding?

Qwen3-Coder 480B-A35B Instruct scores higher on coding benchmarks: 36.2 versus 32.2 in the Noometry coding category.

### Which has the bigger context window?

Qwen3-Coder 480B-A35B Instruct does, with 262K tokens against 32K.

### How many benchmarks do Mixtral 8x7B and Qwen3-Coder 480B-A35B Instruct share?

17 benchmarks have published results for both models. Mixtral 8x7B has 38 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.