Model comparison
Mixtral 8x7B vs Qwen3-1.7B
Mixtral 8x7B and Qwen3-1.7B score almost the same on the Noometry Index (27.1 vs 26.6), so choose on price, context window or the category you care about most.
Last verified . 1 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. Mixtral 8x7B scores higher in 1 category and Qwen3-1.7B in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3-1.7B leads 19.6 to 11.0.
- The biggest single-benchmark swing is GPQA Diamond: 30.6% for Mixtral 8x7B and 38% for Qwen3-1.7B.
Side by side
| Mixtral 8x7B | Qwen3-1.7B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 27.1 | 26.6 |
| Released | 2023-12-11 | 2025-04-29 |
| Weights | Open | Open |
| Context window | 32K | — |
| Max output | 32K | — |
| Input $ / M tokens | $0.70 | — |
| Output $ / M tokens | $0.70 | — |
| Results tracked | 38 | 4 |
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Category by category
Coding Not comparable
Mixtral 8x7B: 32.8 (#269), Qwen3-1.7B: —
| Benchmark | Mixtral 8x7B | Qwen3-1.7B |
|---|---|---|
| LMArena Coding | 1126 | — |
| HumanEval+ | 39.6% | — |
| MBPP+ | 49.7% | — |
Agentic & Tool Use Not comparable
Mixtral 8x7B: —, Qwen3-1.7B: 24.7 (#115)
| Benchmark | Mixtral 8x7B | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.4% |
Reasoning Qwen3-1.7B leads
Mixtral 8x7B: 18.2 (#285), Qwen3-1.7B: 19.2 (#267)
| Benchmark | Mixtral 8x7B | Qwen3-1.7B |
|---|---|---|
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1115 | — |
| DTBench | 49.6% | — |
| Adversarial NLI | 55.2% | — |
| Epoch Capabilities Index | 118.47 | — |
| ForecastBench | 56.3 | — |
| HellaSwag | 86.7% | — |
| PIQA | 83.6% | — |
| WinoGrande | 77.2% | — |
Math Mixtral 8x7B leads
Mixtral 8x7B: 18.8 (#289), Qwen3-1.7B: 16.3 (#294)
| Benchmark | Mixtral 8x7B | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| Omni-MATH | 10.5% | — |
| LMArena Math | 1147 | — |
| MATH Level 5 | 10% | — |
| GSM8K | 74.4% | — |
Knowledge Qwen3-1.7B leads
Mixtral 8x7B: 11.0 (#301), Qwen3-1.7B: 19.6 (#278)
| Benchmark | Mixtral 8x7B | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | 30.6% | 38% |
| MMLU-Pro | 33.5% | — |
| GPQA (HELM) | 29.6% | — |
| LMArena Expert | 1088 | — |
| ARC (AI2) Challenge | 87.3% | — |
| MMLU | 70.6% | — |
| OpenBookQA | 85.8% | — |
| TriviaQA | 82.2% | — |
Multilingual Not comparable
Mixtral 8x7B: 29.6 (#266), Qwen3-1.7B: —
| Benchmark | Mixtral 8x7B | Qwen3-1.7B |
|---|---|---|
| LMArena Non-English | 1077 | — |
| LMArena Chinese | 1055 | — |
| LMArena French | 1166 | — |
| LMArena German | 1114 | — |
| LMArena Japanese | 931 | — |
| LMArena Korean | 968 | — |
| LMArena Russian | 1090 | — |
| LMArena Spanish | 1111 | — |
Instruction Following Not comparable
Mixtral 8x7B: 51.0 (#297), Qwen3-1.7B: —
| Benchmark | Mixtral 8x7B | Qwen3-1.7B |
|---|---|---|
| IFEval | 57.5% | — |
| LMArena Instruction Following | 1109 | — |
Long Context Not comparable
Mixtral 8x7B: 33.4 (#260), Qwen3-1.7B: —
| Benchmark | Mixtral 8x7B | Qwen3-1.7B |
|---|---|---|
| LMArena Longer Query | 1103 | — |
Writing & Preference Not comparable
Mixtral 8x7B: 34.2 (#270), Qwen3-1.7B: —
| Benchmark | Mixtral 8x7B | Qwen3-1.7B |
|---|---|---|
| LMArena Text | 1132 | — |
| LMArena Creative Writing | 1109 | — |
| WildBench | 67.3% | — |
| LMArena Multi-Turn | 1115 | — |
Frequently asked questions
Is Mixtral 8x7B better than Qwen3-1.7B?
Mixtral 8x7B and Qwen3-1.7B score almost the same on the Noometry Index (27.1 vs 26.6), so choose on price, context window or the category you care about most.
How many benchmarks do Mixtral 8x7B and Qwen3-1.7B share?
1 benchmark has published results for both models. Mixtral 8x7B has 38 scored results on Noometry and Qwen3-1.7B has 4.