Model comparison
Qwen3-30B-A3B vs Qwen3.6 Flash
Qwen3-30B-A3B and Qwen3.6 Flash score almost the same on the Noometry Index (38.9 vs 38.8), so choose on price, context window or the category you care about most.
Last verified . 6 shared benchmarks.
Summary
- They share 6 benchmarks with published results for both. Qwen3-30B-A3B scores higher in 0 categories and Qwen3.6 Flash in 3 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.6 Flash leads 29.0 to 22.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 70.3% for Qwen3-30B-A3B and 84.4% for Qwen3.6 Flash.
- Qwen3-30B-A3B is cheaper at $0.12 / $0.50 per million input/output tokens, against $0.19 / $1.13 for Qwen3.6 Flash.
- Qwen3.6 Flash accepts more context: 1M tokens versus 41K.
- Qwen3-30B-A3B has downloadable open weights; the other is API-only.
Side by side
| Qwen3-30B-A3B | Qwen3.6 Flash | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 38.9 | 38.8 |
| Released | 2025-04-28 | 2026-04-27 |
| Weights | Open | Proprietary |
| Context window | 41K | 1M |
| Max output | 16K | 66K |
| Input $ / M tokens | $0.12 | $0.19 |
| Output $ / M tokens | $0.50 | $1.13 |
| Results tracked | 32 | 13 |
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Category by category
Coding Not comparable
Qwen3-30B-A3B: 37.5 (#194), Qwen3.6 Flash: —
| Benchmark | Qwen3-30B-A3B | Qwen3.6 Flash |
|---|---|---|
| SciCode | 33.3% | — |
| WeirdML | 29.8% | — |
| LMArena Coding | 1416 | — |
| ALE-Bench | — | 326.4 |
Agentic & Tool Use Not comparable
Qwen3-30B-A3B: 29.8 (#82), Qwen3.6 Flash: —
| Benchmark | Qwen3-30B-A3B | Qwen3.6 Flash |
|---|---|---|
| Berkeley Function Calling Leaderboard | 41.4% | — |
Reasoning Qwen3.6 Flash leads
Qwen3-30B-A3B: 22.2 (#204), Qwen3.6 Flash: 29.0 (#96)
| Benchmark | Qwen3-30B-A3B | Qwen3.6 Flash |
|---|---|---|
| Chess Puzzles | 8% | 20% |
| DTBench | 69.3% | 77.1% |
| LMCA | 22.4% | 31% |
| Epoch Capabilities Index | 139.63 | 143.26 |
| SimpleBench | — | 35.2% |
| Kagi LLM Benchmark | 54.9% | — |
| CritPt | 0.3% | — |
| LMArena Hard Prompts | 1398 | — |
| Mystery Game Puzzles | — | 18% |
Math Qwen3.6 Flash leads
Qwen3-30B-A3B: 37.4 (#157), Qwen3.6 Flash: 39.0 (#117)
| Benchmark | Qwen3-30B-A3B | Qwen3.6 Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 70.3% | 84.4% |
| FrontierMath (Tiers 1-3) | — | 22.5% |
| MathArena Final-Answer Competitions | 47.8% | — |
| LMArena Math | 1394 | — |
| FrontierMath (Feb 2025 set) | — | 10.3% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Too close to call
Qwen3-30B-A3B: 41.8 (#105), Qwen3.6 Flash: 42.1 (#100)
| Benchmark | Qwen3-30B-A3B | Qwen3.6 Flash |
|---|---|---|
| GPQA Diamond | 70.1% | 83.3% |
| SimpleQA Verified | — | 15.9% |
| Confabulations | 12.3% | — |
| LMArena Expert | 1396 | — |
Multilingual Not comparable
Qwen3-30B-A3B: 49.5 (#132), Qwen3.6 Flash: —
| Benchmark | Qwen3-30B-A3B | Qwen3.6 Flash |
|---|---|---|
| LMArena Non-English | 1372 | — |
| LMArena Chinese | 1433 | — |
| LMArena French | 1418 | — |
| LMArena German | 1380 | — |
| LMArena Japanese | 1337 | — |
| LMArena Korean | 1331 | — |
| LMArena Russian | 1370 | — |
| LMArena Spanish | 1404 | — |
Instruction Following Not comparable
Qwen3-30B-A3B: 72.0 (#142), Qwen3.6 Flash: —
| Benchmark | Qwen3-30B-A3B | Qwen3.6 Flash |
|---|---|---|
| LMArena Instruction Following | 1363 | — |
Long Context Not comparable
Qwen3-30B-A3B: 31.0 (#283), Qwen3.6 Flash: —
| Benchmark | Qwen3-30B-A3B | Qwen3.6 Flash |
|---|---|---|
| Fiction.LiveBench | 40.6% | — |
| LMArena Longer Query | 1379 | — |
Writing & Preference Not comparable
Qwen3-30B-A3B: 55.6 (#143), Qwen3.6 Flash: —
| Benchmark | Qwen3-30B-A3B | Qwen3.6 Flash |
|---|---|---|
| LMArena Text | 1384 | — |
| LMArena Creative Writing | 1317 | — |
| Short-Story Creative Writing | 75.3% | — |
| LMArena Multi-Turn | 1378 | — |
Frequently asked questions
Is Qwen3-30B-A3B better than Qwen3.6 Flash?
Qwen3-30B-A3B and Qwen3.6 Flash score almost the same on the Noometry Index (38.9 vs 38.8), so choose on price, context window or the category you care about most.
Which is cheaper, Qwen3-30B-A3B or Qwen3.6 Flash?
Qwen3-30B-A3B is cheaper. It lists at $0.12 per million input tokens and $0.50 per million output tokens; Qwen3.6 Flash lists at $0.19 and $1.13.
Which has the bigger context window?
Qwen3.6 Flash does, with 1M tokens against 41K.
How many benchmarks do Qwen3-30B-A3B and Qwen3.6 Flash share?
6 benchmarks have published results for both models. Qwen3-30B-A3B has 32 scored results on Noometry and Qwen3.6 Flash has 13.