Model comparison
Mistral 7B vs Qwen3.6 35B-A3B
Qwen3.6 35B-A3B is the stronger model overall, scoring 37.6 to 23.0 on the Noometry Index. Mistral 7B costs 2.2× less per token, which makes it the better buy when Qwen3.6 35B-A3B's lead doesn't matter for your workload.
Last verified . 5 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 5 benchmarks with published results for both. Mistral 7B scores higher in 0 categories and Qwen3.6 35B-A3B in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 35B-A3B leads 51.3 to 7.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.3% for Mistral 7B and 86.7% for Qwen3.6 35B-A3B.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $0.25 / $1.49 for Qwen3.6 35B-A3B.
- Qwen3.6 35B-A3B accepts more context: 262K tokens versus 8K.
Side by side
| Mistral 7B | Qwen3.6 35B-A3B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 23.0 | 37.6 |
| Released | 2023-09-27 | 2026-04-01 |
| Weights | Open | Open |
| Context window | 8K | 262K |
| Max output | 8K | 66K |
| Input $ / M tokens | $0.25 | $0.25 |
| Output $ / M tokens | $0.25 | $1.49 |
| Results tracked | 37 | 14 |
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Category by category
Coding Qwen3.6 35B-A3B leads
Mistral 7B: 26.4 (#326), Qwen3.6 35B-A3B: 37.2 (#196)
| Benchmark | Mistral 7B | Qwen3.6 35B-A3B |
|---|---|---|
| SciCode | — | 35.8% |
| WeirdML | — | 34.5% |
| BigCodeBench Instruct | 19.5% | — |
| LMArena Coding | 1082 | — |
| BigCodeBench Complete | 27.3% | — |
| HumanEval+ | 36% | — |
| MBPP+ | 42.1% | — |
Agentic & Tool Use Not comparable
Mistral 7B: —, Qwen3.6 35B-A3B: 22.1 (#134)
| Benchmark | Mistral 7B | Qwen3.6 35B-A3B |
|---|---|---|
| Terminal-Bench | — | 23% |
Reasoning Qwen3.6 35B-A3B leads
Mistral 7B: 13.1 (#336), Qwen3.6 35B-A3B: 28.0 (#109)
| Benchmark | Mistral 7B | Qwen3.6 35B-A3B |
|---|---|---|
| Chess Puzzles | 0% | 26% |
| DTBench | 42.5% | 73.9% |
| Epoch Capabilities Index | 112.21 | 143.93 |
| NYT Connections (extended) | — | 41.6% |
| CritPt | — | 0.3% |
| LMArena Hard Prompts | 1067 | — |
| Mystery Game Puzzles | — | 22% |
| LMCA | — | 29.7% |
| Surface Evolver Bench | — | 44.4% |
| Adversarial NLI | 47.1% | — |
| BIG-Bench Hard | 56.1% | — |
| HellaSwag | 81% | — |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |
Math Qwen3.6 35B-A3B leads
Mistral 7B: 8.1 (#325), Qwen3.6 35B-A3B: 38.9 (#121)
| Benchmark | Mistral 7B | Qwen3.6 35B-A3B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.3% | 86.7% |
| FrontierMath (Tiers 1-3) | — | 20.4% |
| LMArena Math | 1085 | — |
| MATH Level 5 | 3.7% | — |
| GSM8K | 54.4% | — |
Knowledge Qwen3.6 35B-A3B leads
Mistral 7B: 7.4 (#311), Qwen3.6 35B-A3B: 51.3 (#68)
| Benchmark | Mistral 7B | Qwen3.6 35B-A3B |
|---|---|---|
| GPQA Diamond | 15.2% | 84.8% |
| LMArena Expert | 1036 | — |
| ARC (AI2) Challenge | 78.6% | — |
| BoolQ | 87.4% | — |
| MMLU | 62.5% | — |
| OpenBookQA | 79.8% | — |
| TriviaQA | 75.2% | — |
Multilingual Not comparable
Mistral 7B: 25.8 (#283), Qwen3.6 35B-A3B: —
| Benchmark | Mistral 7B | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Non-English | 1012 | — |
| LMArena Chinese | 1009 | — |
| LMArena French | 1037 | — |
| LMArena German | 987 | — |
| LMArena Japanese | 878 | — |
| LMArena Russian | 1018 | — |
| LMArena Spanish | 1026 | — |
Instruction Following Not comparable
Mistral 7B: 54.2 (#280), Qwen3.6 35B-A3B: —
| Benchmark | Mistral 7B | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Instruction Following | 1060 | — |
Long Context Not comparable
Mistral 7B: 32.2 (#271), Qwen3.6 35B-A3B: —
| Benchmark | Mistral 7B | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Longer Query | 1060 | — |
Writing & Preference Not comparable
Mistral 7B: 30.7 (#286), Qwen3.6 35B-A3B: —
| Benchmark | Mistral 7B | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Text | 1090 | — |
| LMArena Creative Writing | 1068 | — |
| LMArena Multi-Turn | 1062 | — |
Frequently asked questions
Is Mistral 7B better than Qwen3.6 35B-A3B?
Qwen3.6 35B-A3B is the stronger model overall, scoring 37.6 to 23.0 on the Noometry Index. Mistral 7B costs 2.2× less per token, which makes it the better buy when Qwen3.6 35B-A3B's lead doesn't matter for your workload.
Which is cheaper, Mistral 7B or Qwen3.6 35B-A3B?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Qwen3.6 35B-A3B lists at $0.25 and $1.49.
Is Mistral 7B or Qwen3.6 35B-A3B better for coding?
Qwen3.6 35B-A3B scores higher on coding benchmarks: 37.2 versus 26.4 in the Noometry coding category.
Which has the bigger context window?
Qwen3.6 35B-A3B does, with 262K tokens against 8K.
How many benchmarks do Mistral 7B and Qwen3.6 35B-A3B share?
5 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and Qwen3.6 35B-A3B has 14.