Model comparison
Mixtral 8x7B vs Qwen3-VL 235B-A22B
Qwen3-VL 235B-A22B is the stronger model overall, scoring 43.2 to 27.1 on the Noometry Index. Mixtral 8x7B costs 1.8× less per token, which makes it the better buy when Qwen3-VL 235B-A22B's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Mixtral 8x7B scores higher in 0 categories and Qwen3-VL 235B-A22B in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3-VL 235B-A22B leads 40.3 to 11.0.
- Mixtral 8x7B is cheaper at $0.70 / $0.70 per million input/output tokens, against $0.70 / $2.80 for Qwen3-VL 235B-A22B.
- Qwen3-VL 235B-A22B accepts more context: 131K tokens versus 32K.
Side by side
| Mixtral 8x7B | Qwen3-VL 235B-A22B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 27.1 | 43.2 |
| Released | 2023-12-11 | 2025-04 |
| Weights | Open | Open |
| Context window | 32K | 131K |
| Max output | 32K | 33K |
| Input $ / M tokens | $0.70 | $0.70 |
| Output $ / M tokens | $0.70 | $2.80 |
| Results tracked | 38 | 18 |
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Category by category
Coding Qwen3-VL 235B-A22B leads
Mixtral 8x7B: 32.8 (#269), Qwen3-VL 235B-A22B: 42.4 (#100)
| Benchmark | Mixtral 8x7B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Coding | 1126 | 1439 |
| HumanEval+ | 39.6% | — |
| MBPP+ | 49.7% | — |
Reasoning Qwen3-VL 235B-A22B leads
Mixtral 8x7B: 18.2 (#285), Qwen3-VL 235B-A22B: 29.3 (#92)
| Benchmark | Mixtral 8x7B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Hard Prompts | 1115 | 1428 |
| 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 Qwen3-VL 235B-A22B leads
Mixtral 8x7B: 18.8 (#289), Qwen3-VL 235B-A22B: 39.0 (#118)
| Benchmark | Mixtral 8x7B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Math | 1147 | 1426 |
| Omni-MATH | 10.5% | — |
| MATH Level 5 | 10% | — |
| GSM8K | 74.4% | — |
Knowledge Qwen3-VL 235B-A22B leads
Mixtral 8x7B: 11.0 (#301), Qwen3-VL 235B-A22B: 40.3 (#121)
| Benchmark | Mixtral 8x7B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Expert | 1088 | 1442 |
| 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% | — |
Multimodal Not comparable
Mixtral 8x7B: —, Qwen3-VL 235B-A22B: 39.8 (#55)
| Benchmark | Mixtral 8x7B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Vision | — | 1247 |
Multilingual Qwen3-VL 235B-A22B leads
Mixtral 8x7B: 29.6 (#266), Qwen3-VL 235B-A22B: 51.9 (#97)
| Benchmark | Mixtral 8x7B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Non-English | 1077 | 1405 |
| LMArena Chinese | 1055 | 1463 |
| LMArena French | 1166 | 1452 |
| LMArena German | 1114 | 1424 |
| LMArena Japanese | 931 | 1385 |
| LMArena Korean | 968 | 1394 |
| LMArena Russian | 1090 | 1408 |
| LMArena Spanish | 1111 | 1428 |
Instruction Following Qwen3-VL 235B-A22B leads
Mixtral 8x7B: 51.0 (#297), Qwen3-VL 235B-A22B: 74.2 (#101)
| Benchmark | Mixtral 8x7B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Instruction Following | 1109 | 1406 |
| IFEval | 57.5% | — |
Long Context Qwen3-VL 235B-A22B leads
Mixtral 8x7B: 33.4 (#260), Qwen3-VL 235B-A22B: 43.4 (#98)
| Benchmark | Mixtral 8x7B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Longer Query | 1103 | 1420 |
Writing & Preference Qwen3-VL 235B-A22B leads
Mixtral 8x7B: 34.2 (#270), Qwen3-VL 235B-A22B: 60.2 (#99)
| Benchmark | Mixtral 8x7B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Text | 1132 | 1420 |
| LMArena Creative Writing | 1109 | 1366 |
| LMArena Multi-Turn | 1115 | 1428 |
| WildBench | 67.3% | — |
Frequently asked questions
Is Mixtral 8x7B better than Qwen3-VL 235B-A22B?
Qwen3-VL 235B-A22B is the stronger model overall, scoring 43.2 to 27.1 on the Noometry Index. Mixtral 8x7B costs 1.8× less per token, which makes it the better buy when Qwen3-VL 235B-A22B's lead doesn't matter for your workload.
Which is cheaper, Mixtral 8x7B or Qwen3-VL 235B-A22B?
Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; Qwen3-VL 235B-A22B lists at $0.70 and $2.80.
Is Mixtral 8x7B or Qwen3-VL 235B-A22B better for coding?
Qwen3-VL 235B-A22B scores higher on coding benchmarks: 42.4 versus 32.8 in the Noometry coding category.
Which has the bigger context window?
Qwen3-VL 235B-A22B does, with 131K tokens against 32K.
How many benchmarks do Mixtral 8x7B and Qwen3-VL 235B-A22B share?
17 benchmarks have published results for both models. Mixtral 8x7B has 38 scored results on Noometry and Qwen3-VL 235B-A22B has 18.