Model comparison
Claude Opus 5 vs Qwen3 235B-A22B
Claude Opus 5 is the stronger model overall, scoring 67.7 to 43.2 on the Noometry Index. Qwen3 235B-A22B costs 8.2× less per token, which makes it the better buy when Claude Opus 5's lead doesn't matter for your workload.
Last verified . 33 shared benchmarks.
Summary
- They share 33 benchmarks with published results for both. Claude Opus 5 scores higher in 9 categories and Qwen3 235B-A22B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Opus 5 leads 77.1 to 15.8.
- The biggest single-benchmark swing is ARC-AGI-2: 90.4% for Claude Opus 5 and 1.3% for Qwen3 235B-A22B.
- Qwen3 235B-A22B is cheaper at $0.70 / $2.80 per million input/output tokens, against $5 / $25 for Claude Opus 5.
- Claude Opus 5 accepts more context: 1M tokens versus 131K.
- Qwen3 235B-A22B has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 5 | Qwen3 235B-A22B | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 67.7 | 43.2 |
| Released | 2026-07-24 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 1M | 131K |
| Max output | 128K | 16K |
| Input $ / M tokens | $5 | $0.70 |
| Output $ / M tokens | $25 | $2.80 |
| Results tracked | 57 | 49 |
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Category by category
Coding Claude Opus 5 leads
Claude Opus 5: 67.0 (#5), Qwen3 235B-A22B: 43.8 (#72)
| Benchmark | Claude Opus 5 | Qwen3 235B-A22B |
|---|---|---|
| SciCode | 56.4% | 42.4% |
| WeirdML | 91.8% | 41% |
| LMArena Coding | 1533 | 1445 |
| DeepSWE | 73.6% | — |
| FrontierCode | 53.4% | — |
| Aider Polyglot | — | 59.6% |
| CursorBench | 46.6% | — |
| LMArena WebDev | 1694 | — |
| FrontierSWE | 52% | — |
| ALE-Bench | 2,165 | — |
Agentic & Tool Use Claude Opus 5 leads
Claude Opus 5: 55.5 (#1), Qwen3 235B-A22B: 33.7 (#48)
| Benchmark | Claude Opus 5 | Qwen3 235B-A22B |
|---|---|---|
| Vending-Bench 2 | 11,182 | -11.34 |
| APEX-Agents | 65.8% | — |
| Berkeley Function Calling Leaderboard | — | 52.1% |
| OSWorld 2.0 | 31.4% | — |
| τ²-bench Banking | 48.7% | — |
| PostTrainBench | 35% | — |
| BALROG | 63.4% | — |
| GBAEval | 79.6% | — |
| GDP.pdf | 24% | — |
Reasoning Claude Opus 5 leads
Claude Opus 5: 77.1 (#3), Qwen3 235B-A22B: 15.8 (#302)
| Benchmark | Claude Opus 5 | Qwen3 235B-A22B |
|---|---|---|
| ARC-AGI-2 | 90.4% | 1.3% |
| SimpleBench | 80.6% | 31% |
| ARC-AGI-1 | 97.5% | 11% |
| CritPt | 29.1% | 0% |
| Chess Puzzles | 42% | 12% |
| LMArena Hard Prompts | 1525 | 1433 |
| Mystery Game Puzzles | 59% | 9% |
| DTBench | 97.9% | 80.3% |
| LMCA | 64.5% | 29.3% |
| Epoch Capabilities Index | 162.67 | 143.87 |
| Kagi LLM Benchmark | — | 69.4% |
| NYT Connections (extended) | 94.3% | — |
| EBR-Bench | 45.7% | — |
| Bench to the Future 3 | 0.12 | — |
| ForecastBench | — | 59.7 |
Math Claude Opus 5 leads
Claude Opus 5: 86.1 (#6), Qwen3 235B-A22B: 48.5 (#51)
| Benchmark | Claude Opus 5 | Qwen3 235B-A22B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.9% | 86.7% |
| LMArena Math | 1533 | 1431 |
| FrontierMath (Tiers 1-3) | 85.6% | — |
| FrontierMath Tier 4 | 73.2% | — |
| ProofBench | 99% | — |
| Omni-MATH | — | 71.8% |
| MATH Level 5 | — | 68.9% |
| FrontierMath (Feb 2025 set) | — | 8.5% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Claude Opus 5 leads
Claude Opus 5: 66.8 (#8), Qwen3 235B-A22B: 49.5 (#67)
| Benchmark | Claude Opus 5 | Qwen3 235B-A22B |
|---|---|---|
| GPQA Diamond | 93.9% | 80.1% |
| SimpleQA Verified | 59.9% | 40.4% |
| LMArena Expert | 1558 | 1460 |
| MMLU-Pro | — | 84.4% |
| Confabulations | — | 15.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 72.7% |
Multimodal Not comparable
Claude Opus 5: 51.1 (#6), Qwen3 235B-A22B: —
| Benchmark | Claude Opus 5 | Qwen3 235B-A22B |
|---|---|---|
| LMArena Vision | 1321 | — |
| Blueprint-Bench 2 | 30.4% | — |
| Furniture Assembly | 60.8% | — |
| LMArena Document | 1516 | — |
Multilingual Claude Opus 5 leads
Claude Opus 5: 58.8 (#3), Qwen3 235B-A22B: 52.5 (#84)
| Benchmark | Claude Opus 5 | Qwen3 235B-A22B |
|---|---|---|
| LMArena Non-English | 1500 | 1410 |
| LMArena Chinese | 1575 | 1481 |
| LMArena French | 1522 | 1445 |
| LMArena German | 1522 | 1432 |
| LMArena Japanese | 1510 | 1400 |
| LMArena Korean | 1526 | 1391 |
| LMArena Russian | 1507 | 1411 |
| LMArena Spanish | 1519 | 1429 |
Instruction Following Claude Opus 5 leads
Claude Opus 5: 79.3 (#5), Qwen3 235B-A22B: 72.8 (#132)
| Benchmark | Claude Opus 5 | Qwen3 235B-A22B |
|---|---|---|
| LMArena Instruction Following | 1516 | 1408 |
| IFEval | — | 83.5% |
Long Context Too close to call
Claude Opus 5: 46.5 (#20), Qwen3 235B-A22B: 46.1 (#25)
| Benchmark | Claude Opus 5 | Qwen3 235B-A22B |
|---|---|---|
| LMArena Longer Query | 1516 | 1426 |
| Fiction.LiveBench | — | 75% |
Writing & Preference Claude Opus 5 leads
Claude Opus 5: 79.3 (#2), Qwen3 235B-A22B: 59.8 (#103)
| Benchmark | Claude Opus 5 | Qwen3 235B-A22B |
|---|---|---|
| LMArena Text | 1506 | 1419 |
| LMArena Creative Writing | 1491 | 1384 |
| EQ-Bench Creative Writing | 2133 | 1366 |
| LMArena Multi-Turn | 1496 | 1432 |
| Short-Story Creative Writing | — | 83% |
| WildBench | — | 86.6% |
| EQ-Bench 4 | 1385 | — |
Frequently asked questions
Is Claude Opus 5 better than Qwen3 235B-A22B?
Claude Opus 5 is the stronger model overall, scoring 67.7 to 43.2 on the Noometry Index. Qwen3 235B-A22B costs 8.2× less per token, which makes it the better buy when Claude Opus 5's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 5 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 5 lists at $5 and $25.
Is Claude Opus 5 or Qwen3 235B-A22B better for coding?
Claude Opus 5 scores higher on coding benchmarks: 67.0 versus 43.8 in the Noometry coding category.
Which has the bigger context window?
Claude Opus 5 does, with 1M tokens against 131K.
How many benchmarks do Claude Opus 5 and Qwen3 235B-A22B share?
33 benchmarks have published results for both models. Claude Opus 5 has 57 scored results on Noometry and Qwen3 235B-A22B has 49.