Model comparison
Mistral 7B vs Qwen3.5 35B-A3B
Qwen3.5 35B-A3B is the stronger model overall, scoring 42.0 to 23.0 on the Noometry Index. Mistral 7B costs 2.8× less per token, which makes it the better buy when Qwen3.5 35B-A3B's lead doesn't matter for your workload.
Last verified . 21 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 21 benchmarks with published results for both. Mistral 7B scores higher in 0 categories and Qwen3.5 35B-A3B in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5 35B-A3B leads 47.8 to 7.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.3% for Mistral 7B and 70% for Qwen3.5 35B-A3B.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $0.25 / $2 for Qwen3.5 35B-A3B.
- Qwen3.5 35B-A3B accepts more context: 262K tokens versus 8K.
Side by side
| Mistral 7B | Qwen3.5 35B-A3B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 23.0 | 42.0 |
| Released | 2023-09-27 | 2026-02-01 |
| Weights | Open | Open |
| Context window | 8K | 262K |
| Max output | 8K | 66K |
| Input $ / M tokens | $0.25 | $0.25 |
| Output $ / M tokens | $0.25 | $2 |
| Results tracked | 37 | 28 |
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Category by category
Coding Qwen3.5 35B-A3B leads
Mistral 7B: 26.4 (#326), Qwen3.5 35B-A3B: 33.8 (#251)
| Benchmark | Mistral 7B | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Coding | 1082 | 1410 |
| LMArena WebDev | — | 1254 |
| SciCode | — | 29.3% |
| BigCodeBench Instruct | 19.5% | — |
| BigCodeBench Complete | 27.3% | — |
| HumanEval+ | 36% | — |
| MBPP+ | 42.1% | — |
Reasoning Qwen3.5 35B-A3B leads
Mistral 7B: 13.1 (#336), Qwen3.5 35B-A3B: 24.6 (#161)
| Benchmark | Mistral 7B | Qwen3.5 35B-A3B |
|---|---|---|
| Chess Puzzles | 0% | 10% |
| LMArena Hard Prompts | 1067 | 1400 |
| DTBench | 42.5% | 80% |
| Epoch Capabilities Index | 112.21 | 142.52 |
| CritPt | — | 0.6% |
| LMCA | — | 29.5% |
| Adversarial NLI | 47.1% | — |
| BIG-Bench Hard | 56.1% | — |
| HellaSwag | 81% | — |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |
Math Qwen3.5 35B-A3B leads
Mistral 7B: 8.1 (#325), Qwen3.5 35B-A3B: 39.9 (#97)
| Benchmark | Mistral 7B | Qwen3.5 35B-A3B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.3% | 70% |
| LMArena Math | 1085 | 1404 |
| MathArena Final-Answer Competitions | — | 56% |
| MATH Level 5 | 3.7% | — |
| GSM8K | 54.4% | — |
Knowledge Qwen3.5 35B-A3B leads
Mistral 7B: 7.4 (#311), Qwen3.5 35B-A3B: 47.8 (#79)
| Benchmark | Mistral 7B | Qwen3.5 35B-A3B |
|---|---|---|
| GPQA Diamond | 15.2% | 83.5% |
| LMArena Expert | 1036 | 1408 |
| Vectara Hallucination Rate | — | 10.5% |
| ARC (AI2) Challenge | 78.6% | — |
| BoolQ | 87.4% | — |
| MMLU | 62.5% | — |
| OpenBookQA | 79.8% | — |
| TriviaQA | 75.2% | — |
Multilingual Qwen3.5 35B-A3B leads
Mistral 7B: 25.8 (#283), Qwen3.5 35B-A3B: 50.0 (#127)
| Benchmark | Mistral 7B | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Non-English | 1012 | 1378 |
| LMArena Chinese | 1009 | 1457 |
| LMArena French | 1037 | 1412 |
| LMArena German | 987 | 1367 |
| LMArena Japanese | 878 | 1325 |
| LMArena Russian | 1018 | 1376 |
| LMArena Spanish | 1026 | 1392 |
| LMArena Korean | — | 1356 |
Instruction Following Qwen3.5 35B-A3B leads
Mistral 7B: 54.2 (#280), Qwen3.5 35B-A3B: 72.8 (#128)
| Benchmark | Mistral 7B | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Instruction Following | 1060 | 1379 |
Long Context Qwen3.5 35B-A3B leads
Mistral 7B: 32.2 (#271), Qwen3.5 35B-A3B: 42.4 (#127)
| Benchmark | Mistral 7B | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Longer Query | 1060 | 1389 |
Writing & Preference Qwen3.5 35B-A3B leads
Mistral 7B: 30.7 (#286), Qwen3.5 35B-A3B: 57.9 (#124)
| Benchmark | Mistral 7B | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Text | 1090 | 1395 |
| LMArena Creative Writing | 1068 | 1346 |
| LMArena Multi-Turn | 1062 | 1390 |
Frequently asked questions
Is Mistral 7B better than Qwen3.5 35B-A3B?
Qwen3.5 35B-A3B is the stronger model overall, scoring 42.0 to 23.0 on the Noometry Index. Mistral 7B costs 2.8× less per token, which makes it the better buy when Qwen3.5 35B-A3B's lead doesn't matter for your workload.
Which is cheaper, Mistral 7B or Qwen3.5 35B-A3B?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Qwen3.5 35B-A3B lists at $0.25 and $2.
Is Mistral 7B or Qwen3.5 35B-A3B better for coding?
Qwen3.5 35B-A3B scores higher on coding benchmarks: 33.8 versus 26.4 in the Noometry coding category.
Which has the bigger context window?
Qwen3.5 35B-A3B does, with 262K tokens against 8K.
How many benchmarks do Mistral 7B and Qwen3.5 35B-A3B share?
21 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and Qwen3.5 35B-A3B has 28.