Model comparison
Mistral 7B vs Qwen3.6 27B
Qwen3.6 27B is the stronger model overall, scoring 42.2 to 23.0 on the Noometry Index. Mistral 7B costs 5.4× less per token, which makes it the better buy when Qwen3.6 27B'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 27B in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 27B leads 52.4 to 7.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.3% for Mistral 7B and 91.1% for Qwen3.6 27B.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $0.60 / $3.60 for Qwen3.6 27B.
- Qwen3.6 27B accepts more context: 262K tokens versus 8K.
Side by side
| Mistral 7B | Qwen3.6 27B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 23.0 | 42.2 |
| Released | 2023-09-27 | 2026-04-22 |
| Weights | Open | Open |
| Context window | 8K | 262K |
| Max output | 8K | 66K |
| Input $ / M tokens | $0.25 | $0.60 |
| Output $ / M tokens | $0.25 | $3.60 |
| Results tracked | 37 | 11 |
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Category by category
Coding Qwen3.6 27B leads
Mistral 7B: 26.4 (#326), Qwen3.6 27B: 39.1 (#163)
| Benchmark | Mistral 7B | Qwen3.6 27B |
|---|---|---|
| SciCode | — | 37.3% |
| BigCodeBench Instruct | 19.5% | — |
| LMArena Coding | 1082 | — |
| BigCodeBench Complete | 27.3% | — |
| HumanEval+ | 36% | — |
| MBPP+ | 42.1% | — |
Reasoning Qwen3.6 27B leads
Mistral 7B: 13.1 (#336), Qwen3.6 27B: 25.0 (#153)
| Benchmark | Mistral 7B | Qwen3.6 27B |
|---|---|---|
| Chess Puzzles | 0% | 22% |
| DTBench | 42.5% | 78.1% |
| Epoch Capabilities Index | 112.21 | 146.5 |
| CritPt | — | 0.9% |
| LMArena Hard Prompts | 1067 | — |
| Mystery Game Puzzles | — | 7% |
| LMCA | — | 34.5% |
| Adversarial NLI | 47.1% | — |
| BIG-Bench Hard | 56.1% | — |
| HellaSwag | 81% | — |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |
Math Qwen3.6 27B leads
Mistral 7B: 8.1 (#325), Qwen3.6 27B: 48.5 (#62)
| Benchmark | Mistral 7B | Qwen3.6 27B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.3% | 91.1% |
| FrontierMath (Tiers 1-3) | — | 35.1% |
| LMArena Math | 1085 | — |
| MATH Level 5 | 3.7% | — |
| GSM8K | 54.4% | — |
Knowledge Qwen3.6 27B leads
Mistral 7B: 7.4 (#311), Qwen3.6 27B: 52.4 (#63)
| Benchmark | Mistral 7B | Qwen3.6 27B |
|---|---|---|
| GPQA Diamond | 15.2% | 85.9% |
| 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 27B: —
| Benchmark | Mistral 7B | Qwen3.6 27B |
|---|---|---|
| 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 27B: —
| Benchmark | Mistral 7B | Qwen3.6 27B |
|---|---|---|
| LMArena Instruction Following | 1060 | — |
Long Context Not comparable
Mistral 7B: 32.2 (#271), Qwen3.6 27B: —
| Benchmark | Mistral 7B | Qwen3.6 27B |
|---|---|---|
| LMArena Longer Query | 1060 | — |
Writing & Preference Qwen3.6 27B leads
Mistral 7B: 30.7 (#286), Qwen3.6 27B: 50.3 (#181)
| Benchmark | Mistral 7B | Qwen3.6 27B |
|---|---|---|
| LMArena Text | 1090 | — |
| LMArena Creative Writing | 1068 | — |
| EQ-Bench 4 | — | 1026 |
| LMArena Multi-Turn | 1062 | — |
Frequently asked questions
Is Mistral 7B better than Qwen3.6 27B?
Qwen3.6 27B is the stronger model overall, scoring 42.2 to 23.0 on the Noometry Index. Mistral 7B costs 5.4× less per token, which makes it the better buy when Qwen3.6 27B's lead doesn't matter for your workload.
Which is cheaper, Mistral 7B or Qwen3.6 27B?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Qwen3.6 27B lists at $0.60 and $3.60.
Is Mistral 7B or Qwen3.6 27B better for coding?
Qwen3.6 27B scores higher on coding benchmarks: 39.1 versus 26.4 in the Noometry coding category.
Which has the bigger context window?
Qwen3.6 27B does, with 262K tokens against 8K.
How many benchmarks do Mistral 7B and Qwen3.6 27B share?
5 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and Qwen3.6 27B has 11.