Model comparison
Claude Opus 4.1 vs Qwen3-30B-A3B
Claude Opus 4.1 is the stronger model overall, scoring 41.0 to 38.9 on the Noometry Index. Qwen3-30B-A3B costs 140× less per token, which makes it the better buy when Claude Opus 4.1's lead doesn't matter for your workload.
Last verified . 26 shared benchmarks.
Summary
- They share 26 benchmarks with published results for both. Claude Opus 4.1 scores higher in 8 categories and Qwen3-30B-A3B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3-30B-A3B leads 37.4 to 22.3.
- The biggest single-benchmark swing is WeirdML: 45.9% for Claude Opus 4.1 and 29.8% for Qwen3-30B-A3B.
- Qwen3-30B-A3B is cheaper at $0.12 / $0.50 per million input/output tokens, against $15 / $75 for Claude Opus 4.1.
- Claude Opus 4.1 accepts more context: 200K tokens versus 41K.
- Qwen3-30B-A3B has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4.1 | Qwen3-30B-A3B | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 41.0 | 38.9 |
| Released | 2025-08-05 | 2025-04-28 |
| Weights | Proprietary | Open |
| Context window | 200K | 41K |
| Max output | 32K | 16K |
| Input $ / M tokens | $15 | $0.12 |
| Output $ / M tokens | $75 | $0.50 |
| Results tracked | 48 | 32 |
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Category by category
Coding Claude Opus 4.1 leads
Claude Opus 4.1: 44.4 (#73), Qwen3-30B-A3B: 37.5 (#194)
| Benchmark | Claude Opus 4.1 | Qwen3-30B-A3B |
|---|---|---|
| WeirdML | 45.9% | 29.8% |
| LMArena Coding | 1479 | 1416 |
| SWE-bench Verified | 73.3% | — |
| LMArena WebDev | 1390 | — |
| SciCode | — | 33.3% |
| ALE-Bench | 674.77 | — |
| AlgoTune | 1.34 | — |
Agentic & Tool Use Claude Opus 4.1 leads
Claude Opus 4.1: 35.0 (#41), Qwen3-30B-A3B: 29.8 (#82)
| Benchmark | Claude Opus 4.1 | Qwen3-30B-A3B |
|---|---|---|
| Terminal-Bench | 38% | — |
| Berkeley Function Calling Leaderboard | — | 41.4% |
| GDPval | 43.6% | — |
| Cybench | 42% | — |
| DeepResearch Bench | 48.3% | — |
| LMArena Search | 1148 | — |
| METR Time Horizons | 66.8% | — |
Reasoning Claude Opus 4.1 leads
Claude Opus 4.1: 32.2 (#76), Qwen3-30B-A3B: 22.2 (#204)
| Benchmark | Claude Opus 4.1 | Qwen3-30B-A3B |
|---|---|---|
| Chess Puzzles | 7% | 8% |
| LMArena Hard Prompts | 1443 | 1398 |
| DTBench | 80% | 69.3% |
| LMCA | 37.1% | 22.4% |
| Epoch Capabilities Index | 144.12 | 139.63 |
| SimpleBench | 60% | — |
| Kagi LLM Benchmark | — | 54.9% |
| CritPt | — | 0.3% |
| EnigmaEval | 7.2% | — |
| EBR-Bench | 7.9% | — |
| Mystery Game Puzzles | 21% | — |
| ForecastBench | 62 | — |
Math Qwen3-30B-A3B leads
Claude Opus 4.1: 22.3 (#277), Qwen3-30B-A3B: 37.4 (#157)
| Benchmark | Claude Opus 4.1 | Qwen3-30B-A3B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 68.9% | 70.3% |
| LMArena Math | 1431 | 1394 |
| FrontierMath (Tiers 1-3) | 12.6% | — |
| FrontierMath Tier 4 | 2.4% | — |
| MathArena Final-Answer Competitions | — | 47.8% |
| FrontierMath (Feb 2025 set) | 7.2% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Too close to call
Claude Opus 4.1: 42.0 (#101), Qwen3-30B-A3B: 41.8 (#105)
| Benchmark | Claude Opus 4.1 | Qwen3-30B-A3B |
|---|---|---|
| GPQA Diamond | 77.3% | 70.1% |
| Confabulations | 17.1% | 12.3% |
| LMArena Expert | 1439 | 1396 |
| Humanity's Last Exam | 11.5% | — |
| Vectara Hallucination Rate | 11.8% | — |
Multimodal Not comparable
Claude Opus 4.1: 26.8 (#119), Qwen3-30B-A3B: —
| Benchmark | Claude Opus 4.1 | Qwen3-30B-A3B |
|---|---|---|
| VPCT | 35% | — |
Multilingual Claude Opus 4.1 leads
Claude Opus 4.1: 52.0 (#95), Qwen3-30B-A3B: 49.5 (#132)
| Benchmark | Claude Opus 4.1 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | 1405 | 1372 |
| LMArena Chinese | 1427 | 1433 |
| LMArena French | 1431 | 1418 |
| LMArena German | 1413 | 1380 |
| LMArena Japanese | 1378 | 1337 |
| LMArena Korean | 1380 | 1331 |
| LMArena Russian | 1422 | 1370 |
| LMArena Spanish | 1448 | 1404 |
Instruction Following Claude Opus 4.1 leads
Claude Opus 4.1: 75.6 (#58), Qwen3-30B-A3B: 72.0 (#142)
| Benchmark | Claude Opus 4.1 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | 1435 | 1363 |
Long Context Claude Opus 4.1 leads
Claude Opus 4.1: 44.5 (#63), Qwen3-30B-A3B: 31.0 (#283)
| Benchmark | Claude Opus 4.1 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Longer Query | 1455 | 1379 |
| Fiction.LiveBench | — | 40.6% |
Writing & Preference Claude Opus 4.1 leads
Claude Opus 4.1: 62.4 (#74), Qwen3-30B-A3B: 55.6 (#143)
| Benchmark | Claude Opus 4.1 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | 1419 | 1384 |
| LMArena Creative Writing | 1412 | 1317 |
| Short-Story Creative Writing | 84.7% | 75.3% |
| LMArena Multi-Turn | 1444 | 1378 |
Frequently asked questions
Is Claude Opus 4.1 better than Qwen3-30B-A3B?
Claude Opus 4.1 is the stronger model overall, scoring 41.0 to 38.9 on the Noometry Index. Qwen3-30B-A3B costs 140× less per token, which makes it the better buy when Claude Opus 4.1's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 4.1 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 Opus 4.1 lists at $15 and $75.
Is Claude Opus 4.1 or Qwen3-30B-A3B better for coding?
Claude Opus 4.1 scores higher on coding benchmarks: 44.4 versus 37.5 in the Noometry coding category.
Which has the bigger context window?
Claude Opus 4.1 does, with 200K tokens against 41K.
How many benchmarks do Claude Opus 4.1 and Qwen3-30B-A3B share?
26 benchmarks have published results for both models. Claude Opus 4.1 has 48 scored results on Noometry and Qwen3-30B-A3B has 32.