Model comparison
Qwen3-30B-A3B vs Qwen3 32B
Qwen3-30B-A3B and Qwen3 32B score almost the same on the Noometry Index (38.9 vs 39.2), so choose on price, context window or the category you care about most.
Last verified . 24 shared benchmarks.
Summary
- They share 24 benchmarks with published results for both. Qwen3-30B-A3B scores higher in 5 categories and Qwen3 32B in 4 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in long context, where Qwen3 32B leads 43.8 to 31.0.
- The biggest single-benchmark swing is Fiction.LiveBench: 40.6% for Qwen3-30B-A3B and 74.2% for Qwen3 32B.
- Qwen3-30B-A3B is cheaper at $0.12 / $0.50 per million input/output tokens, against $0.70 / $2.80 for Qwen3 32B.
- Qwen3 32B accepts more context: 131K tokens versus 41K.
Side by side
| Qwen3-30B-A3B | Qwen3 32B | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 38.9 | 39.2 |
| Released | 2025-04-28 | 2025-04 |
| Weights | Open | Open |
| Context window | 41K | 131K |
| Max output | 16K | 16K |
| Input $ / M tokens | $0.12 | $0.70 |
| Output $ / M tokens | $0.50 | $2.80 |
| Results tracked | 32 | 26 |
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Category by category
Coding Too close to call
Qwen3-30B-A3B: 37.5 (#194), Qwen3 32B: 37.7 (#190)
| Benchmark | Qwen3-30B-A3B | Qwen3 32B |
|---|---|---|
| SciCode | 33.3% | 35.4% |
| LMArena Coding | 1416 | 1358 |
| Aider Polyglot | — | 40% |
| WeirdML | 29.8% | — |
Agentic & Tool Use Qwen3 32B leads
Qwen3-30B-A3B: 29.8 (#82), Qwen3 32B: 32.6 (#62)
| Benchmark | Qwen3-30B-A3B | Qwen3 32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 41.4% | 48.7% |
Reasoning Qwen3-30B-A3B leads
Qwen3-30B-A3B: 22.2 (#204), Qwen3 32B: 20.2 (#241)
| Benchmark | Qwen3-30B-A3B | Qwen3 32B |
|---|---|---|
| Kagi LLM Benchmark | 54.9% | 54.9% |
| CritPt | 0.3% | 0.3% |
| Chess Puzzles | 8% | 5% |
| LMArena Hard Prompts | 1398 | 1334 |
| DTBench | 69.3% | 67.5% |
| LMCA | 22.4% | 17.3% |
| Epoch Capabilities Index | 139.63 | 138.51 |
Math Qwen3 32B leads
Qwen3-30B-A3B: 37.4 (#157), Qwen3 32B: 39.7 (#99)
| Benchmark | Qwen3-30B-A3B | Qwen3 32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 70.3% | 66.9% |
| LMArena Math | 1394 | 1399 |
| MathArena Final-Answer Competitions | 47.8% | — |
Knowledge Qwen3-30B-A3B leads
Qwen3-30B-A3B: 41.8 (#105), Qwen3 32B: 40.0 (#125)
| Benchmark | Qwen3-30B-A3B | Qwen3 32B |
|---|---|---|
| GPQA Diamond | 70.1% | 65.7% |
| LMArena Expert | 1396 | 1362 |
| Confabulations | 12.3% | — |
| Vectara Hallucination Rate | — | 5.9% |
Multilingual Qwen3-30B-A3B leads
Qwen3-30B-A3B: 49.5 (#132), Qwen3 32B: 45.6 (#167)
| Benchmark | Qwen3-30B-A3B | Qwen3 32B |
|---|---|---|
| LMArena Non-English | 1372 | 1317 |
| LMArena Chinese | 1433 | 1357 |
| LMArena German | 1380 | 1341 |
| LMArena Russian | 1370 | 1311 |
| LMArena French | 1418 | — |
| LMArena Japanese | 1337 | — |
| LMArena Korean | 1331 | — |
| LMArena Spanish | 1404 | — |
Instruction Following Qwen3-30B-A3B leads
Qwen3-30B-A3B: 72.0 (#142), Qwen3 32B: 68.9 (#179)
| Benchmark | Qwen3-30B-A3B | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | 1363 | 1305 |
Long Context Qwen3 32B leads
Qwen3-30B-A3B: 31.0 (#283), Qwen3 32B: 43.8 (#87)
| Benchmark | Qwen3-30B-A3B | Qwen3 32B |
|---|---|---|
| Fiction.LiveBench | 40.6% | 74.2% |
| LMArena Longer Query | 1379 | 1327 |
Writing & Preference Qwen3-30B-A3B leads
Qwen3-30B-A3B: 55.6 (#143), Qwen3 32B: 52.9 (#163)
| Benchmark | Qwen3-30B-A3B | Qwen3 32B |
|---|---|---|
| LMArena Text | 1384 | 1340 |
| LMArena Creative Writing | 1317 | 1297 |
| LMArena Multi-Turn | 1378 | 1331 |
| Short-Story Creative Writing | 75.3% | — |
Frequently asked questions
Is Qwen3-30B-A3B better than Qwen3 32B?
Qwen3-30B-A3B and Qwen3 32B score almost the same on the Noometry Index (38.9 vs 39.2), so choose on price, context window or the category you care about most.
Which is cheaper, Qwen3-30B-A3B or Qwen3 32B?
Qwen3-30B-A3B is cheaper. It lists at $0.12 per million input tokens and $0.50 per million output tokens; Qwen3 32B lists at $0.70 and $2.80.
Is Qwen3-30B-A3B or Qwen3 32B better for coding?
They score almost the same on coding (37.5 vs 37.7); test both on your own repository before choosing.
Which has the bigger context window?
Qwen3 32B does, with 131K tokens against 41K.
How many benchmarks do Qwen3-30B-A3B and Qwen3 32B share?
24 benchmarks have published results for both models. Qwen3-30B-A3B has 32 scored results on Noometry and Qwen3 32B has 26.