Model comparison
Claude Opus 4 vs Qwen3 235B-A22B
Claude Opus 4 and Qwen3 235B-A22B score almost the same on the Noometry Index (42.9 vs 43.2), so choose on price, context window or the category you care about most.
Last verified . 43 shared benchmarks.
Alibaba (Qwen)Summary
- They share 43 benchmarks with published results for both. Claude Opus 4 scores higher in 5 categories and Qwen3 235B-A22B in 4 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Opus 4 leads 27.4 to 15.8.
- The biggest single-benchmark swing is SimpleBench: 58.8% for Claude Opus 4 and 31% for Qwen3 235B-A22B.
- Qwen3 235B-A22B is cheaper at $0.70 / $2.80 per million input/output tokens, against $15 / $75 for Claude Opus 4.
- Claude Opus 4 accepts more context: 200K tokens versus 131K.
- Qwen3 235B-A22B has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4 | Qwen3 235B-A22B | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 42.9 | 43.2 |
| Released | 2025-05-22 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 200K | 131K |
| Max output | 32K | 16K |
| Input $ / M tokens | $15 | $0.70 |
| Output $ / M tokens | $75 | $2.80 |
| Results tracked | 56 | 49 |
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Category by category
Coding Claude Opus 4 leads
Claude Opus 4: 47.8 (#55), Qwen3 235B-A22B: 43.8 (#72)
| Benchmark | Claude Opus 4 | Qwen3 235B-A22B |
|---|---|---|
| Aider Polyglot | 72% | 59.6% |
| WeirdML | 43.7% | 41% |
| LMArena Coding | 1442 | 1445 |
| SWE-bench Verified | 70.7% | — |
| SWE-bench Verified (bash only) | 67.6% | — |
| SciCode | — | 42.4% |
| GSO | 6.9% | — |
| AlgoTune | 1.33 | — |
Agentic & Tool Use Too close to call
Claude Opus 4: 34.5 (#39), Qwen3 235B-A22B: 33.7 (#48)
| Benchmark | Claude Opus 4 | Qwen3 235B-A22B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 52.1% |
| Cybench | 38% | — |
| DeepResearch Bench | 46.8% | — |
| LMArena Search | 1127 | — |
| METR Time Horizons | 63.9% | — |
| Vending-Bench 2 | — | -11.34 |
Reasoning Claude Opus 4 leads
Claude Opus 4: 27.4 (#104), Qwen3 235B-A22B: 15.8 (#302)
| Benchmark | Claude Opus 4 | Qwen3 235B-A22B |
|---|---|---|
| ARC-AGI-2 | 8.6% | 1.3% |
| SimpleBench | 58.8% | 31% |
| Kagi LLM Benchmark | 74.3% | 69.4% |
| ARC-AGI-1 | 35.7% | 11% |
| CritPt | 0.3% | 0% |
| LMArena Hard Prompts | 1399 | 1433 |
| DTBench | 81.6% | 80.3% |
| LMCA | 37.4% | 29.3% |
| Epoch Capabilities Index | 142.67 | 143.87 |
| ForecastBench | 61.1 | 59.7 |
| Chess Puzzles | — | 12% |
| EnigmaEval | 5.6% | — |
| Mystery Game Puzzles | — | 9% |
Math Qwen3 235B-A22B leads
Claude Opus 4: 40.2 (#80), Qwen3 235B-A22B: 48.5 (#51)
| Benchmark | Claude Opus 4 | Qwen3 235B-A22B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 64.4% | 86.7% |
| Omni-MATH | 61.6% | 71.8% |
| LMArena Math | 1391 | 1431 |
| MATH Level 5 | 85% | 68.9% |
| FrontierMath (Feb 2025 set) | 4.5% | 8.5% |
| FrontierMath Tier 4 (v1) | 4.2% | 0% |
Knowledge Qwen3 235B-A22B leads
Claude Opus 4: 43.9 (#82), Qwen3 235B-A22B: 49.5 (#67)
| Benchmark | Claude Opus 4 | Qwen3 235B-A22B |
|---|---|---|
| GPQA Diamond | 76.3% | 80.1% |
| MMLU-Pro | 87.5% | 84.4% |
| Confabulations | 15.9% | 15.6% |
| Vectara Hallucination Rate | 12% | 9.3% |
| GPQA (HELM) | 70.8% | 72.7% |
| LMArena Expert | 1384 | 1460 |
| Humanity's Last Exam | 10.7% | — |
| SimpleQA Verified | — | 40.4% |
Multimodal Not comparable
Claude Opus 4: 30.9 (#101), Qwen3 235B-A22B: —
| Benchmark | Claude Opus 4 | Qwen3 235B-A22B |
|---|---|---|
| LMArena Vision | 1192 | — |
| GeoBench | 49% | — |
| VPCT | 38% | — |
Multilingual Qwen3 235B-A22B leads
Claude Opus 4: 49.0 (#133), Qwen3 235B-A22B: 52.5 (#84)
| Benchmark | Claude Opus 4 | Qwen3 235B-A22B |
|---|---|---|
| LMArena Non-English | 1362 | 1410 |
| LMArena Chinese | 1386 | 1481 |
| LMArena French | 1370 | 1445 |
| LMArena German | 1391 | 1432 |
| LMArena Japanese | 1332 | 1400 |
| LMArena Korean | 1318 | 1391 |
| LMArena Russian | 1392 | 1411 |
| LMArena Spanish | 1388 | 1429 |
Instruction Following Claude Opus 4 leads
Claude Opus 4: 77.3 (#26), Qwen3 235B-A22B: 72.8 (#132)
| Benchmark | Claude Opus 4 | Qwen3 235B-A22B |
|---|---|---|
| IFEval | 91.8% | 83.5% |
| LMArena Instruction Following | 1406 | 1408 |
Long Context Qwen3 235B-A22B leads
Claude Opus 4: 39.5 (#167), Qwen3 235B-A22B: 46.1 (#25)
| Benchmark | Claude Opus 4 | Qwen3 235B-A22B |
|---|---|---|
| Fiction.LiveBench | 61.1% | 75% |
| LMArena Longer Query | 1422 | 1426 |
Writing & Preference Claude Opus 4 leads
Claude Opus 4: 61.4 (#85), Qwen3 235B-A22B: 59.8 (#103)
| Benchmark | Claude Opus 4 | Qwen3 235B-A22B |
|---|---|---|
| LMArena Text | 1377 | 1419 |
| LMArena Creative Writing | 1386 | 1384 |
| Short-Story Creative Writing | 83.6% | 83% |
| EQ-Bench Creative Writing | 1580 | 1366 |
| WildBench | 85.2% | 86.6% |
| LMArena Multi-Turn | 1396 | 1432 |
Frequently asked questions
Is Claude Opus 4 better than Qwen3 235B-A22B?
Claude Opus 4 and Qwen3 235B-A22B score almost the same on the Noometry Index (42.9 vs 43.2), so choose on price, context window or the category you care about most.
Which is cheaper, Claude Opus 4 or Qwen3 235B-A22B?
Qwen3 235B-A22B is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; Claude Opus 4 lists at $15 and $75.
Is Claude Opus 4 or Qwen3 235B-A22B better for coding?
Claude Opus 4 scores higher on coding benchmarks: 47.8 versus 43.8 in the Noometry coding category.
Which has the bigger context window?
Claude Opus 4 does, with 200K tokens against 131K.
How many benchmarks do Claude Opus 4 and Qwen3 235B-A22B share?
43 benchmarks have published results for both models. Claude Opus 4 has 56 scored results on Noometry and Qwen3 235B-A22B has 49.