Model comparison
Mistral Small vs Qwen3-30B-A3B
Qwen3-30B-A3B is the stronger model overall, scoring 38.9 to 33.4 on the Noometry Index.
Last verified . 25 shared benchmarks.
Summary
- They share 25 benchmarks with published results for both. Mistral Small scores higher in 1 category and Qwen3-30B-A3B in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3-30B-A3B leads 37.4 to 16.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 5.8% for Mistral Small and 70.3% for Qwen3-30B-A3B.
- Qwen3-30B-A3B is cheaper at $0.12 / $0.50 per million input/output tokens, against $0.15 / $0.60 for Mistral Small.
- Mistral Small accepts more context: 262K tokens versus 41K.
Side by side
| Mistral Small | Qwen3-30B-A3B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 33.4 | 38.9 |
| Released | 2024-02-26 | 2025-04-28 |
| Weights | Open | Open |
| Context window | 262K | 41K |
| Max output | 256K | 16K |
| Input $ / M tokens | $0.15 | $0.12 |
| Output $ / M tokens | $0.60 | $0.50 |
| Results tracked | 39 | 32 |
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Category by category
Coding Qwen3-30B-A3B leads
Mistral Small: 34.0 (#247), Qwen3-30B-A3B: 37.5 (#194)
| Benchmark | Mistral Small | Qwen3-30B-A3B |
|---|---|---|
| SciCode | 26.5% | 33.3% |
| LMArena Coding | 1362 | 1416 |
| WeirdML | — | 29.8% |
| BigCodeBench Instruct | 36.1% | — |
| LiveBench Coding | 36.2% | — |
| BigCodeBench Complete | 46.6% | — |
| ALE-Bench | 497.62 | — |
Agentic & Tool Use Qwen3-30B-A3B leads
Mistral Small: 28.1 (#93), Qwen3-30B-A3B: 29.8 (#82)
| Benchmark | Mistral Small | Qwen3-30B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.1% | 41.4% |
Reasoning Qwen3-30B-A3B leads
Mistral Small: 19.8 (#250), Qwen3-30B-A3B: 22.2 (#204)
| Benchmark | Mistral Small | Qwen3-30B-A3B |
|---|---|---|
| Kagi LLM Benchmark | 37.8% | 54.9% |
| CritPt | 0% | 0.3% |
| LMArena Hard Prompts | 1335 | 1398 |
| DTBench | 70.9% | 69.3% |
| LMCA | 20.6% | 22.4% |
| Chess Puzzles | — | 8% |
| LiveBench Reasoning | 44.8% | — |
| LiveBench Data Analysis | 53.7% | — |
| Epoch Capabilities Index | — | 139.63 |
| LiveBench | 44% | — |
Math Qwen3-30B-A3B leads
Mistral Small: 16.4 (#293), Qwen3-30B-A3B: 37.4 (#157)
| Benchmark | Mistral Small | Qwen3-30B-A3B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 5.8% | 70.3% |
| LMArena Math | 1341 | 1394 |
| MathArena Final-Answer Competitions | — | 47.8% |
| LiveBench Math | 39.9% | — |
| MATH Level 5 | 46.8% | — |
Knowledge Qwen3-30B-A3B leads
Mistral Small: 31.0 (#222), Qwen3-30B-A3B: 41.8 (#105)
| Benchmark | Mistral Small | Qwen3-30B-A3B |
|---|---|---|
| GPQA Diamond | 47.5% | 70.1% |
| LMArena Expert | 1291 | 1396 |
| Confabulations | — | 12.3% |
| Vectara Hallucination Rate | 5.1% | — |
| MMLU | 68.7% | — |
Multimodal Not comparable
Mistral Small: 33.5 (#96), Qwen3-30B-A3B: —
| Benchmark | Mistral Small | Qwen3-30B-A3B |
|---|---|---|
| LMArena Vision | 1142 | — |
Multilingual Qwen3-30B-A3B leads
Mistral Small: 45.5 (#169), Qwen3-30B-A3B: 49.5 (#132)
| Benchmark | Mistral Small | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | 1315 | 1372 |
| LMArena Chinese | 1340 | 1433 |
| LMArena French | 1337 | 1418 |
| LMArena German | 1340 | 1380 |
| LMArena Japanese | 1275 | 1337 |
| LMArena Korean | 1259 | 1331 |
| LMArena Russian | 1324 | 1370 |
| LMArena Spanish | 1346 | 1404 |
Instruction Following Qwen3-30B-A3B leads
Mistral Small: 66.4 (#209), Qwen3-30B-A3B: 72.0 (#142)
| Benchmark | Mistral Small | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | 1310 | 1363 |
| LiveBench Instruction Following | 63.7% | — |
Long Context Mistral Small leads
Mistral Small: 40.4 (#156), Qwen3-30B-A3B: 31.0 (#283)
| Benchmark | Mistral Small | Qwen3-30B-A3B |
|---|---|---|
| LMArena Longer Query | 1327 | 1379 |
| Fiction.LiveBench | — | 40.6% |
Writing & Preference Qwen3-30B-A3B leads
Mistral Small: 52.5 (#171), Qwen3-30B-A3B: 55.6 (#143)
| Benchmark | Mistral Small | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | 1338 | 1384 |
| LMArena Creative Writing | 1305 | 1317 |
| LMArena Multi-Turn | 1344 | 1378 |
| Short-Story Creative Writing | — | 75.3% |
| LiveBench Language | 30.5% | — |
Frequently asked questions
Is Mistral Small better than Qwen3-30B-A3B?
Qwen3-30B-A3B is the stronger model overall, scoring 38.9 to 33.4 on the Noometry Index.
Which is cheaper, Mistral Small or Qwen3-30B-A3B?
Qwen3-30B-A3B is cheaper. It lists at $0.12 per million input tokens and $0.50 per million output tokens; Mistral Small lists at $0.15 and $0.60.
Is Mistral Small or Qwen3-30B-A3B better for coding?
Qwen3-30B-A3B scores higher on coding benchmarks: 37.5 versus 34.0 in the Noometry coding category.
Which has the bigger context window?
Mistral Small does, with 262K tokens against 41K.
How many benchmarks do Mistral Small and Qwen3-30B-A3B share?
25 benchmarks have published results for both models. Mistral Small has 39 scored results on Noometry and Qwen3-30B-A3B has 32.