Model comparison
Mistral Small 3.2 vs Qwen3-Coder 480B-A35B Instruct
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 38.1 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 23× less per token, which makes it the better buy when Qwen3-Coder 480B-A35B Instruct's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. Mistral Small 3.2 scores higher in 0 categories and Qwen3-Coder 480B-A35B Instruct in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3-Coder 480B-A35B Instruct leads 37.6 to 26.3.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 40.4% for Mistral Small 3.2 and 49.5% for Qwen3-Coder 480B-A35B Instruct.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
- Qwen3-Coder 480B-A35B Instruct accepts more context: 262K tokens versus 256K.
Side by side
| Mistral Small 3.2 | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.2 | 38.1 |
| Released | 2025-06-20 | 2025-04 |
| Weights | Open | Open |
| Context window | 256K | 262K |
| Max output | 16K | 66K |
| Input $ / M tokens | $0.0938 | $1.50 |
| Output $ / M tokens | $0.25 | $7.50 |
| Results tracked | 6 | 25 |
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Category by category
Coding Not comparable
Mistral Small 3.2: —, Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | Mistral Small 3.2 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| LMArena Coding | — | 1412 |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Not comparable
Mistral Small 3.2: —, Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | Mistral Small 3.2 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
Reasoning Qwen3-Coder 480B-A35B Instruct leads
Mistral Small 3.2: 18.1 (#287), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | Mistral Small 3.2 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 40.4% | 49.5% |
| Chess Puzzles | 1% | — |
| LMArena Hard Prompts | — | 1372 |
| Epoch Capabilities Index | 131.74 | — |
Math Qwen3-Coder 480B-A35B Instruct leads
Mistral Small 3.2: 26.3 (#260), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | Mistral Small 3.2 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 30.3% | — |
| LMArena Math | — | 1365 |
Knowledge Qwen3-Coder 480B-A35B Instruct leads
Mistral Small 3.2: 26.7 (#256), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | Mistral Small 3.2 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| GPQA Diamond | 49.1% | — |
| LMArena Expert | — | 1338 |
Multilingual Not comparable
Mistral Small 3.2: —, Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | Mistral Small 3.2 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | — | 1346 |
| LMArena Chinese | — | 1357 |
| LMArena French | — | 1398 |
| LMArena German | — | 1325 |
| LMArena Japanese | — | 1310 |
| LMArena Korean | — | 1305 |
| LMArena Russian | — | 1366 |
| LMArena Spanish | — | 1360 |
Instruction Following Not comparable
Mistral Small 3.2: —, Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | Mistral Small 3.2 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | — | 1355 |
Long Context Not comparable
Mistral Small 3.2: —, Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | Mistral Small 3.2 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | — | 1378 |
Writing & Preference Qwen3-Coder 480B-A35B Instruct leads
Mistral Small 3.2: 45.0 (#224), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | Mistral Small 3.2 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | — | 1357 |
| LMArena Creative Writing | — | 1333 |
| EQ-Bench Creative Writing | 1255 | — |
| LMArena Multi-Turn | — | 1365 |
Frequently asked questions
Is Mistral Small 3.2 better than Qwen3-Coder 480B-A35B Instruct?
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 38.1 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 23× less per token, which makes it the better buy when Qwen3-Coder 480B-A35B Instruct's lead doesn't matter for your workload.
Which is cheaper, Mistral Small 3.2 or Qwen3-Coder 480B-A35B Instruct?
Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.
Which has the bigger context window?
Qwen3-Coder 480B-A35B Instruct does, with 262K tokens against 256K.
How many benchmarks do Mistral Small 3.2 and Qwen3-Coder 480B-A35B Instruct share?
1 benchmark has published results for both models. Mistral Small 3.2 has 6 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.