Model comparison
Mixtral 8x7B vs Qwen3-Next 80B-A3B Instruct
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 26.8 on the Noometry Index.
Last verified . 22 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 22 benchmarks with published results for both. Mixtral 8x7B scores higher in 0 categories and Qwen3-Next 80B-A3B Instruct in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3-Next 80B-A3B Instruct leads 41.3 to 11.0.
- The biggest single-benchmark swing is MMLU-Pro: 33.5% for Mixtral 8x7B and 78.6% for Qwen3-Next 80B-A3B Instruct.
- Mixtral 8x7B is cheaper at $0.70 / $0.70 per million input/output tokens, against $0.50 / $2 for Qwen3-Next 80B-A3B Instruct.
- Qwen3-Next 80B-A3B Instruct accepts more context: 131K tokens versus 32K.
Side by side
| Mixtral 8x7B | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 26.8 | 42.5 |
| Released | 2023-12-11 | 2025-09 |
| Weights | Open | Open |
| Context window | 32K | 131K |
| Max output | 32K | 33K |
| Input $ / M tokens | $0.70 | $0.50 |
| Output $ / M tokens | $0.70 | $2 |
| Results tracked | 38 | 25 |
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Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Mixtral 8x7B: 32.2 (#265), Qwen3-Next 80B-A3B Instruct: 41.9 (#101)
| Benchmark | Mixtral 8x7B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1127 | 1441 |
| HumanEval+ | 39.6% | — |
| MBPP+ | 49.7% | — |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Mixtral 8x7B: 17.4 (#283), Qwen3-Next 80B-A3B Instruct: 30.1 (#79)
| Benchmark | Mixtral 8x7B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1115 | 1428 |
| Kagi LLM Benchmark | — | 66.7% |
| 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 Qwen3-Next 80B-A3B Instruct leads
Mixtral 8x7B: 17.2 (#284), Qwen3-Next 80B-A3B Instruct: 36.3 (#118)
| Benchmark | Mixtral 8x7B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Omni-MATH | 10.5% | 46.7% |
| LMArena Math | 1147 | 1440 |
| MATH Level 5 | 10% | — |
| GSM8K | 74.4% | — |
Knowledge Qwen3-Next 80B-A3B Instruct leads
Mixtral 8x7B: 11.0 (#296), Qwen3-Next 80B-A3B Instruct: 41.3 (#102)
| Benchmark | Mixtral 8x7B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| MMLU-Pro | 33.5% | 78.6% |
| GPQA (HELM) | 29.6% | 63% |
| LMArena Expert | 1088 | 1416 |
| GPQA Diamond | 30.6% | — |
| Vectara Hallucination Rate | — | 9.3% |
| ARC (AI2) Challenge | 87.3% | — |
| MMLU | 70.6% | — |
| OpenBookQA | 85.8% | — |
| TriviaQA | 82.2% | — |
Multilingual Qwen3-Next 80B-A3B Instruct leads
Mixtral 8x7B: 29.8 (#261), Qwen3-Next 80B-A3B Instruct: 52.3 (#88)
| Benchmark | Mixtral 8x7B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1077 | 1407 |
| LMArena Chinese | 1055 | 1461 |
| LMArena French | 1165 | 1415 |
| LMArena German | 1114 | 1416 |
| LMArena Japanese | 931 | 1398 |
| LMArena Korean | 968 | 1366 |
| LMArena Russian | 1090 | 1403 |
| LMArena Spanish | 1110 | 1436 |
Instruction Following Qwen3-Next 80B-A3B Instruct leads
Mixtral 8x7B: 51.2 (#292), Qwen3-Next 80B-A3B Instruct: 71.0 (#154)
| Benchmark | Mixtral 8x7B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| IFEval | 57.5% | 81% |
| LMArena Instruction Following | 1110 | 1388 |
Long Context Qwen3-Next 80B-A3B Instruct leads
Mixtral 8x7B: 33.4 (#255), Qwen3-Next 80B-A3B Instruct: 37.0 (#218)
| Benchmark | Mixtral 8x7B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Longer Query | 1103 | 1403 |
| Fiction.LiveBench | — | 55.6% |
Writing & Preference Qwen3-Next 80B-A3B Instruct leads
Mixtral 8x7B: 34.4 (#265), Qwen3-Next 80B-A3B Instruct: 58.2 (#116)
| Benchmark | Mixtral 8x7B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1132 | 1417 |
| LMArena Creative Writing | 1109 | 1333 |
| WildBench | 67.3% | 80.7% |
| LMArena Multi-Turn | 1115 | 1415 |
Frequently asked questions
Is Mixtral 8x7B better than Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 26.8 on the Noometry Index.
Which is cheaper, Mixtral 8x7B or Qwen3-Next 80B-A3B Instruct?
Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; Qwen3-Next 80B-A3B Instruct lists at $0.50 and $2.
Is Mixtral 8x7B or Qwen3-Next 80B-A3B Instruct better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 41.9 versus 32.2 in the Noometry coding category.
Which has the bigger context window?
Qwen3-Next 80B-A3B Instruct does, with 131K tokens against 32K.
How many benchmarks do Mixtral 8x7B and Qwen3-Next 80B-A3B Instruct share?
22 benchmarks have published results for both models. Mixtral 8x7B has 38 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.