Model comparison
Mistral 7B vs Qwen3.6 Flash
Qwen3.6 Flash is the stronger model overall, scoring 38.8 to 23.0 on the Noometry Index. Mistral 7B costs 1.7× less per token, which makes it the better buy when Qwen3.6 Flash'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 Flash in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 Flash leads 42.1 to 7.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.3% for Mistral 7B and 84.4% for Qwen3.6 Flash.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $0.19 / $1.13 for Qwen3.6 Flash.
- Qwen3.6 Flash accepts more context: 1M tokens versus 8K.
- Mistral 7B has downloadable open weights; the other is API-only.
Side by side
| Mistral 7B | Qwen3.6 Flash | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 23.0 | 38.8 |
| Released | 2023-09-27 | 2026-04-27 |
| Weights | Open | Proprietary |
| Context window | 8K | 1M |
| Max output | 8K | 66K |
| Input $ / M tokens | $0.25 | $0.19 |
| Output $ / M tokens | $0.25 | $1.13 |
| Results tracked | 37 | 13 |
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Category by category
Coding Not comparable
Mistral 7B: 26.4 (#326), Qwen3.6 Flash: —
| Benchmark | Mistral 7B | Qwen3.6 Flash |
|---|---|---|
| BigCodeBench Instruct | 19.5% | — |
| LMArena Coding | 1082 | — |
| BigCodeBench Complete | 27.3% | — |
| ALE-Bench | — | 326.4 |
| HumanEval+ | 36% | — |
| MBPP+ | 42.1% | — |
Reasoning Qwen3.6 Flash leads
Mistral 7B: 13.1 (#336), Qwen3.6 Flash: 29.0 (#96)
| Benchmark | Mistral 7B | Qwen3.6 Flash |
|---|---|---|
| Chess Puzzles | 0% | 20% |
| DTBench | 42.5% | 77.1% |
| Epoch Capabilities Index | 112.21 | 143.26 |
| SimpleBench | — | 35.2% |
| LMArena Hard Prompts | 1067 | — |
| Mystery Game Puzzles | — | 18% |
| LMCA | — | 31% |
| Adversarial NLI | 47.1% | — |
| BIG-Bench Hard | 56.1% | — |
| HellaSwag | 81% | — |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |
Math Qwen3.6 Flash leads
Mistral 7B: 8.1 (#325), Qwen3.6 Flash: 39.0 (#117)
| Benchmark | Mistral 7B | Qwen3.6 Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.3% | 84.4% |
| FrontierMath (Tiers 1-3) | — | 22.5% |
| LMArena Math | 1085 | — |
| MATH Level 5 | 3.7% | — |
| FrontierMath (Feb 2025 set) | — | 10.3% |
| FrontierMath Tier 4 (v1) | — | 0% |
| GSM8K | 54.4% | — |
Knowledge Qwen3.6 Flash leads
Mistral 7B: 7.4 (#311), Qwen3.6 Flash: 42.1 (#100)
| Benchmark | Mistral 7B | Qwen3.6 Flash |
|---|---|---|
| GPQA Diamond | 15.2% | 83.3% |
| SimpleQA Verified | — | 15.9% |
| 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 Flash: —
| Benchmark | Mistral 7B | Qwen3.6 Flash |
|---|---|---|
| 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 Flash: —
| Benchmark | Mistral 7B | Qwen3.6 Flash |
|---|---|---|
| LMArena Instruction Following | 1060 | — |
Long Context Not comparable
Mistral 7B: 32.2 (#271), Qwen3.6 Flash: —
| Benchmark | Mistral 7B | Qwen3.6 Flash |
|---|---|---|
| LMArena Longer Query | 1060 | — |
Writing & Preference Not comparable
Mistral 7B: 30.7 (#286), Qwen3.6 Flash: —
| Benchmark | Mistral 7B | Qwen3.6 Flash |
|---|---|---|
| LMArena Text | 1090 | — |
| LMArena Creative Writing | 1068 | — |
| LMArena Multi-Turn | 1062 | — |
Frequently asked questions
Is Mistral 7B better than Qwen3.6 Flash?
Qwen3.6 Flash is the stronger model overall, scoring 38.8 to 23.0 on the Noometry Index. Mistral 7B costs 1.7× less per token, which makes it the better buy when Qwen3.6 Flash's lead doesn't matter for your workload.
Which is cheaper, Mistral 7B or Qwen3.6 Flash?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Qwen3.6 Flash lists at $0.19 and $1.13.
Which has the bigger context window?
Qwen3.6 Flash does, with 1M tokens against 8K.
How many benchmarks do Mistral 7B and Qwen3.6 Flash share?
5 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and Qwen3.6 Flash has 13.