Model comparison
Claude Sonnet 5.5 vs Qwen3-30B-A3B
Claude Sonnet 5.5 is the stronger model overall, scoring 61.9 to 38.9 on the Noometry Index. Qwen3-30B-A3B costs 19× less per token, which makes it the better buy when Claude Sonnet 5.5's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. Claude Sonnet 5.5 scores higher in 9 categories and Qwen3-30B-A3B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Sonnet 5.5 leads 87.9 to 37.4.
- The biggest single-benchmark swing is CritPt: 31.4% for Claude Sonnet 5.5 and 0.3% for Qwen3-30B-A3B.
- Qwen3-30B-A3B is cheaper at $0.12 / $0.50 per million input/output tokens, against $2 / $10 for Claude Sonnet 5.5.
- Claude Sonnet 5.5 accepts more context: 1M tokens versus 41K.
- Qwen3-30B-A3B has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 5.5 | Qwen3-30B-A3B | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 61.9 | 38.9 |
| Released | 2026-09-28 | 2025-04-28 |
| Weights | Proprietary | Open |
| Context window | 1M | 41K |
| Max output | 128K | 16K |
| Input $ / M tokens | $2 | $0.12 |
| Output $ / M tokens | $10 | $0.50 |
| Results tracked | 32 | 32 |
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Category by category
Coding Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 67.3 (#6), Qwen3-30B-A3B: 37.5 (#194)
| Benchmark | Claude Sonnet 5.5 | Qwen3-30B-A3B |
|---|---|---|
| SciCode | 61% | 33.3% |
| LMArena Coding | 1513 | 1416 |
| FrontierCode | 52.1% | — |
| CursorBench | 55.5% | — |
| LMArena WebDev | 1774 | — |
| FrontierSWE | 61.9% | — |
| WeirdML | — | 29.8% |
| ALE-Bench | 1,819 | — |
Agentic & Tool Use Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 45.0 (#16), Qwen3-30B-A3B: 29.8 (#82)
| Benchmark | Claude Sonnet 5.5 | Qwen3-30B-A3B |
|---|---|---|
| APEX-Agents | 75.5% | — |
| Berkeley Function Calling Leaderboard | — | 41.4% |
Reasoning Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 54.0 (#28), Qwen3-30B-A3B: 22.2 (#204)
| Benchmark | Claude Sonnet 5.5 | Qwen3-30B-A3B |
|---|---|---|
| CritPt | 31.4% | 0.3% |
| LMArena Hard Prompts | 1495 | 1398 |
| Epoch Capabilities Index | 165.03 | 139.63 |
| Kagi LLM Benchmark | — | 54.9% |
| NYT Connections (extended) | 80.5% | — |
| Chess Puzzles | — | 8% |
| Mystery Game Puzzles | 65% | — |
| DTBench | — | 69.3% |
| LMCA | — | 22.4% |
Math Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 87.9 (#6), Qwen3-30B-A3B: 37.4 (#157)
| Benchmark | Claude Sonnet 5.5 | Qwen3-30B-A3B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 70.3% |
| LMArena Math | 1510 | 1394 |
| FrontierMath (Tiers 1-3) | 88.8% | — |
| FrontierMath Tier 4 | 80.5% | — |
| MathArena Final-Answer Competitions | — | 47.8% |
| ProofBench | 100% | — |
| FrontierMath Erdős | 2.9% | — |
Knowledge Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 66.0 (#12), Qwen3-30B-A3B: 41.8 (#105)
| Benchmark | Claude Sonnet 5.5 | Qwen3-30B-A3B |
|---|---|---|
| GPQA Diamond | 95.6% | 70.1% |
| LMArena Expert | 1540 | 1396 |
| SimpleQA Verified | 46.5% | — |
| Confabulations | — | 12.3% |
Multimodal Not comparable
Claude Sonnet 5.5: 51.5 (#6), Qwen3-30B-A3B: —
| Benchmark | Claude Sonnet 5.5 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Vision | 1289 | — |
| Furniture Assembly | 75% | — |
Multilingual Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 55.3 (#30), Qwen3-30B-A3B: 49.5 (#132)
| Benchmark | Claude Sonnet 5.5 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | 1452 | 1372 |
| LMArena Chinese | 1522 | 1433 |
| LMArena Russian | 1451 | 1370 |
| LMArena French | — | 1418 |
| LMArena German | — | 1380 |
| LMArena Japanese | — | 1337 |
| LMArena Korean | — | 1331 |
| LMArena Spanish | — | 1404 |
Instruction Following Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 78.3 (#11), Qwen3-30B-A3B: 72.0 (#142)
| Benchmark | Claude Sonnet 5.5 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | 1495 | 1363 |
Long Context Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 45.9 (#28), Qwen3-30B-A3B: 31.0 (#283)
| Benchmark | Claude Sonnet 5.5 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Longer Query | 1498 | 1379 |
| Fiction.LiveBench | — | 40.6% |
Writing & Preference Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 66.0 (#40), Qwen3-30B-A3B: 55.6 (#143)
| Benchmark | Claude Sonnet 5.5 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | 1471 | 1384 |
| LMArena Creative Writing | 1465 | 1317 |
| LMArena Multi-Turn | 1474 | 1378 |
| Short-Story Creative Writing | — | 75.3% |
Frequently asked questions
Is Claude Sonnet 5.5 better than Qwen3-30B-A3B?
Claude Sonnet 5.5 is the stronger model overall, scoring 61.9 to 38.9 on the Noometry Index. Qwen3-30B-A3B costs 19× less per token, which makes it the better buy when Claude Sonnet 5.5's lead doesn't matter for your workload.
Which is cheaper, Claude Sonnet 5.5 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; Claude Sonnet 5.5 lists at $2 and $10.
Is Claude Sonnet 5.5 or Qwen3-30B-A3B better for coding?
Claude Sonnet 5.5 scores higher on coding benchmarks: 67.3 versus 37.5 in the Noometry coding category.
Which has the bigger context window?
Claude Sonnet 5.5 does, with 1M tokens against 41K.
How many benchmarks do Claude Sonnet 5.5 and Qwen3-30B-A3B share?
17 benchmarks have published results for both models. Claude Sonnet 5.5 has 32 scored results on Noometry and Qwen3-30B-A3B has 32.