Model comparison
Mistral 7B vs Qwen3 32B
Qwen3 32B is the stronger model overall, scoring 39.2 to 23.0 on the Noometry Index. Mistral 7B costs 4.9× less per token, which makes it the better buy when Qwen3 32B's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 18 benchmarks with published results for both. Mistral 7B scores higher in 0 categories and Qwen3 32B in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3 32B leads 40.0 to 7.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.3% for Mistral 7B and 66.9% for Qwen3 32B.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $0.70 / $2.80 for Qwen3 32B.
- Qwen3 32B accepts more context: 131K tokens versus 8K.
Side by side
| Mistral 7B | Qwen3 32B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 23.0 | 39.2 |
| Released | 2023-09-27 | 2025-04 |
| Weights | Open | Open |
| Context window | 8K | 131K |
| Max output | 8K | 16K |
| Input $ / M tokens | $0.25 | $0.70 |
| Output $ / M tokens | $0.25 | $2.80 |
| Results tracked | 37 | 26 |
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Category by category
Coding Qwen3 32B leads
Mistral 7B: 26.4 (#326), Qwen3 32B: 37.7 (#190)
| Benchmark | Mistral 7B | Qwen3 32B |
|---|---|---|
| LMArena Coding | 1082 | 1358 |
| Aider Polyglot | — | 40% |
| SciCode | — | 35.4% |
| BigCodeBench Instruct | 19.5% | — |
| BigCodeBench Complete | 27.3% | — |
| HumanEval+ | 36% | — |
| MBPP+ | 42.1% | — |
Agentic & Tool Use Not comparable
Mistral 7B: —, Qwen3 32B: 32.6 (#62)
| Benchmark | Mistral 7B | Qwen3 32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 48.7% |
Reasoning Qwen3 32B leads
Mistral 7B: 13.1 (#336), Qwen3 32B: 20.2 (#241)
| Benchmark | Mistral 7B | Qwen3 32B |
|---|---|---|
| Chess Puzzles | 0% | 5% |
| LMArena Hard Prompts | 1067 | 1334 |
| DTBench | 42.5% | 67.5% |
| Epoch Capabilities Index | 112.21 | 138.51 |
| Kagi LLM Benchmark | — | 54.9% |
| CritPt | — | 0.3% |
| LMCA | — | 17.3% |
| Adversarial NLI | 47.1% | — |
| BIG-Bench Hard | 56.1% | — |
| HellaSwag | 81% | — |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |
Math Qwen3 32B leads
Mistral 7B: 8.1 (#325), Qwen3 32B: 39.7 (#99)
| Benchmark | Mistral 7B | Qwen3 32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.3% | 66.9% |
| LMArena Math | 1085 | 1399 |
| MATH Level 5 | 3.7% | — |
| GSM8K | 54.4% | — |
Knowledge Qwen3 32B leads
Mistral 7B: 7.4 (#311), Qwen3 32B: 40.0 (#125)
| Benchmark | Mistral 7B | Qwen3 32B |
|---|---|---|
| GPQA Diamond | 15.2% | 65.7% |
| LMArena Expert | 1036 | 1362 |
| Vectara Hallucination Rate | — | 5.9% |
| ARC (AI2) Challenge | 78.6% | — |
| BoolQ | 87.4% | — |
| MMLU | 62.5% | — |
| OpenBookQA | 79.8% | — |
| TriviaQA | 75.2% | — |
Multilingual Qwen3 32B leads
Mistral 7B: 25.8 (#283), Qwen3 32B: 45.6 (#167)
| Benchmark | Mistral 7B | Qwen3 32B |
|---|---|---|
| LMArena Non-English | 1012 | 1317 |
| LMArena Chinese | 1009 | 1357 |
| LMArena German | 987 | 1341 |
| LMArena Russian | 1018 | 1311 |
| LMArena French | 1037 | — |
| LMArena Japanese | 878 | — |
| LMArena Spanish | 1026 | — |
Instruction Following Qwen3 32B leads
Mistral 7B: 54.2 (#280), Qwen3 32B: 68.9 (#179)
| Benchmark | Mistral 7B | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | 1060 | 1305 |
Long Context Qwen3 32B leads
Mistral 7B: 32.2 (#271), Qwen3 32B: 43.8 (#87)
| Benchmark | Mistral 7B | Qwen3 32B |
|---|---|---|
| LMArena Longer Query | 1060 | 1327 |
| Fiction.LiveBench | — | 74.2% |
Writing & Preference Qwen3 32B leads
Mistral 7B: 30.7 (#286), Qwen3 32B: 52.9 (#163)
| Benchmark | Mistral 7B | Qwen3 32B |
|---|---|---|
| LMArena Text | 1090 | 1340 |
| LMArena Creative Writing | 1068 | 1297 |
| LMArena Multi-Turn | 1062 | 1331 |
Frequently asked questions
Is Mistral 7B better than Qwen3 32B?
Qwen3 32B is the stronger model overall, scoring 39.2 to 23.0 on the Noometry Index. Mistral 7B costs 4.9× less per token, which makes it the better buy when Qwen3 32B's lead doesn't matter for your workload.
Which is cheaper, Mistral 7B or Qwen3 32B?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Qwen3 32B lists at $0.70 and $2.80.
Is Mistral 7B or Qwen3 32B better for coding?
Qwen3 32B scores higher on coding benchmarks: 37.7 versus 26.4 in the Noometry coding category.
Which has the bigger context window?
Qwen3 32B does, with 131K tokens against 8K.
How many benchmarks do Mistral 7B and Qwen3 32B share?
18 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and Qwen3 32B has 26.