Model comparison
Qwen3-30B-A3B vs Qwen3-Coder 480B-A35B Instruct
Qwen3-30B-A3B and Qwen3-Coder 480B-A35B Instruct score almost the same on the Noometry Index (38.9 vs 38.1), so choose on price, context window or the category you care about most.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. Qwen3-30B-A3B scores higher in 6 categories and Qwen3-Coder 480B-A35B Instruct in 3 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in long context, where Qwen3-Coder 480B-A35B Instruct leads 42.0 to 31.0.
- The biggest single-benchmark swing is WeirdML: 29.8% for Qwen3-30B-A3B and 41.2% for Qwen3-Coder 480B-A35B Instruct.
- Qwen3-30B-A3B is cheaper at $0.12 / $0.50 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 41K.
Side by side
| Qwen3-30B-A3B | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 38.9 | 38.1 |
| Released | 2025-04-28 | 2025-04 |
| Weights | Open | Open |
| Context window | 41K | 262K |
| Max output | 16K | 66K |
| Input $ / M tokens | $0.12 | $1.50 |
| Output $ / M tokens | $0.50 | $7.50 |
| Results tracked | 32 | 25 |
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Category by category
Coding Qwen3-30B-A3B leads
Qwen3-30B-A3B: 37.5 (#194), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | Qwen3-30B-A3B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| WeirdML | 29.8% | 41.2% |
| LMArena Coding | 1416 | 1412 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1275 |
| SciCode | 33.3% | — |
| GSO | — | 4.9% |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Qwen3-30B-A3B leads
Qwen3-30B-A3B: 29.8 (#82), Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | Qwen3-30B-A3B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| Berkeley Function Calling Leaderboard | 41.4% | — |
Reasoning Qwen3-Coder 480B-A35B Instruct leads
Qwen3-30B-A3B: 22.2 (#204), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | Qwen3-30B-A3B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 54.9% | 49.5% |
| LMArena Hard Prompts | 1398 | 1372 |
| CritPt | 0.3% | — |
| Chess Puzzles | 8% | — |
| DTBench | 69.3% | — |
| LMCA | 22.4% | — |
| Epoch Capabilities Index | 139.63 | — |
Math Too close to call
Qwen3-30B-A3B: 37.4 (#157), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | Qwen3-30B-A3B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1394 | 1365 |
| MathArena Final-Answer Competitions | 47.8% | — |
| OTIS Mock AIME 2024-2025 | 70.3% | — |
Knowledge Qwen3-30B-A3B leads
Qwen3-30B-A3B: 41.8 (#105), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | Qwen3-30B-A3B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1396 | 1338 |
| GPQA Diamond | 70.1% | — |
| Confabulations | 12.3% | — |
Multilingual Qwen3-30B-A3B leads
Qwen3-30B-A3B: 49.5 (#132), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | Qwen3-30B-A3B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1372 | 1346 |
| LMArena Chinese | 1433 | 1357 |
| LMArena French | 1418 | 1398 |
| LMArena German | 1380 | 1325 |
| LMArena Japanese | 1337 | 1310 |
| LMArena Korean | 1331 | 1305 |
| LMArena Russian | 1370 | 1366 |
| LMArena Spanish | 1404 | 1360 |
Instruction Following Too close to call
Qwen3-30B-A3B: 72.0 (#142), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | Qwen3-30B-A3B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1363 | 1355 |
Long Context Qwen3-Coder 480B-A35B Instruct leads
Qwen3-30B-A3B: 31.0 (#283), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | Qwen3-30B-A3B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1379 | 1378 |
| Fiction.LiveBench | 40.6% | — |
Writing & Preference Too close to call
Qwen3-30B-A3B: 55.6 (#143), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | Qwen3-30B-A3B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1384 | 1357 |
| LMArena Creative Writing | 1317 | 1333 |
| LMArena Multi-Turn | 1378 | 1365 |
| Short-Story Creative Writing | 75.3% | — |
Frequently asked questions
Is Qwen3-30B-A3B better than Qwen3-Coder 480B-A35B Instruct?
Qwen3-30B-A3B and Qwen3-Coder 480B-A35B Instruct score almost the same on the Noometry Index (38.9 vs 38.1), so choose on price, context window or the category you care about most.
Which is cheaper, Qwen3-30B-A3B or Qwen3-Coder 480B-A35B Instruct?
Qwen3-30B-A3B is cheaper. It lists at $0.12 per million input tokens and $0.50 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.
Is Qwen3-30B-A3B or Qwen3-Coder 480B-A35B Instruct better for coding?
Qwen3-30B-A3B scores higher on coding benchmarks: 37.5 versus 35.5 in the Noometry coding category.
Which has the bigger context window?
Qwen3-Coder 480B-A35B Instruct does, with 262K tokens against 41K.
How many benchmarks do Qwen3-30B-A3B and Qwen3-Coder 480B-A35B Instruct share?
19 benchmarks have published results for both models. Qwen3-30B-A3B has 32 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.