Model comparison
Claude Opus 5 vs Qwen2.5-Coder-32B
Claude Opus 5 is the stronger model overall, scoring 67.7 to 32.9 on the Noometry Index. Qwen2.5-Coder-32B costs 13× less per token, which makes it the better buy when Claude Opus 5's lead doesn't matter for your workload.
Last verified . 13 shared benchmarks.
Alibaba (Qwen)Summary
- They share 13 benchmarks with published results for both. Claude Opus 5 scores higher in 8 categories and Qwen2.5-Coder-32B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Opus 5 leads 77.1 to 20.4.
- Qwen2.5-Coder-32B is cheaper at $0.66 / $1 per million input/output tokens, against $5 / $25 for Claude Opus 5.
- Claude Opus 5 accepts more context: 1M tokens versus 33K.
- Qwen2.5-Coder-32B has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 5 | Qwen2.5-Coder-32B | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 67.7 | 32.9 |
| Released | 2026-07-24 | 2024-09-18 |
| Weights | Proprietary | Open |
| Context window | 1M | 33K |
| Max output | 128K | 29K |
| Input $ / M tokens | $5 | $0.66 |
| Output $ / M tokens | $25 | $1 |
| Results tracked | 57 | 31 |
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Category by category
Coding Claude Opus 5 leads
Claude Opus 5: 67.0 (#5), Qwen2.5-Coder-32B: 22.4 (#328)
| Benchmark | Claude Opus 5 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Coding | 1533 | 1276 |
| DeepSWE | 73.6% | — |
| FrontierCode | 53.4% | — |
| SWE-bench Verified (bash only) | — | 9% |
| Aider Polyglot | — | 16.4% |
| CursorBench | 46.6% | — |
| LMArena WebDev | 1694 | — |
| FrontierSWE | 52% | — |
| SciCode | 56.4% | — |
| WeirdML | 91.8% | — |
| BigCodeBench Instruct | — | 49% |
| LiveBench Coding | — | 56.9% |
| BigCodeBench Complete | — | 58% |
| ALE-Bench | 2,165 | — |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 77% |
Agentic & Tool Use Not comparable
Claude Opus 5: 55.5 (#1), Qwen2.5-Coder-32B: —
| Benchmark | Claude Opus 5 | Qwen2.5-Coder-32B |
|---|---|---|
| APEX-Agents | 65.8% | — |
| OSWorld 2.0 | 31.4% | — |
| τ²-bench Banking | 48.7% | — |
| PostTrainBench | 35% | — |
| BALROG | 63.4% | — |
| GBAEval | 79.6% | — |
| GDP.pdf | 24% | — |
| Vending-Bench 2 | 11,182 | — |
Reasoning Claude Opus 5 leads
Claude Opus 5: 77.1 (#3), Qwen2.5-Coder-32B: 20.4 (#220)
| Benchmark | Claude Opus 5 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Hard Prompts | 1525 | 1251 |
| Epoch Capabilities Index | 162.67 | 119.41 |
| ARC-AGI-2 | 90.4% | — |
| SimpleBench | 80.6% | — |
| NYT Connections (extended) | 94.3% | — |
| ARC-AGI-1 | 97.5% | — |
| CritPt | 29.1% | — |
| Chess Puzzles | 42% | — |
| EBR-Bench | 45.7% | — |
| LiveBench Reasoning | — | 42.1% |
| Mystery Game Puzzles | 59% | — |
| DTBench | 97.9% | — |
| LiveBench Data Analysis | — | 49.9% |
| LMCA | 64.5% | — |
| Bench to the Future 3 | 0.12 | — |
| HellaSwag | — | 83% |
| LiveBench | — | 46.2% |
| WinoGrande | — | 80.8% |
Math Claude Opus 5 leads
Claude Opus 5: 86.1 (#6), Qwen2.5-Coder-32B: 30.8 (#203)
| Benchmark | Claude Opus 5 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Math | 1533 | 1251 |
| FrontierMath (Tiers 1-3) | 85.6% | — |
| FrontierMath Tier 4 | 73.2% | — |
| OTIS Mock AIME 2024-2025 | 98.9% | — |
| ProofBench | 99% | — |
| LiveBench Math | — | 46.6% |
| GSM8K | — | 93% |
Knowledge Claude Opus 5 leads
Claude Opus 5: 66.8 (#8), Qwen2.5-Coder-32B: 32.9 (#200)
| Benchmark | Claude Opus 5 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Expert | 1558 | 1221 |
| GPQA Diamond | 93.9% | — |
| SimpleQA Verified | 59.9% | — |
| ARC (AI2) Challenge | — | 70.5% |
| MMLU | — | 79.1% |
Multimodal Not comparable
Claude Opus 5: 51.1 (#6), Qwen2.5-Coder-32B: —
| Benchmark | Claude Opus 5 | Qwen2.5-Coder-32B |
|---|---|---|
| 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), Qwen2.5-Coder-32B: 38.0 (#230)
| Benchmark | Claude Opus 5 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Non-English | 1500 | 1205 |
| LMArena Chinese | 1575 | 1222 |
| LMArena Russian | 1507 | 1228 |
| LMArena French | 1522 | — |
| LMArena German | 1522 | — |
| LMArena Japanese | 1510 | — |
| LMArena Korean | 1526 | — |
| LMArena Spanish | 1519 | — |
Instruction Following Claude Opus 5 leads
Claude Opus 5: 79.3 (#5), Qwen2.5-Coder-32B: 61.6 (#240)
| Benchmark | Claude Opus 5 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Instruction Following | 1516 | 1223 |
| LiveBench Instruction Following | — | 58.7% |
Long Context Claude Opus 5 leads
Claude Opus 5: 46.5 (#20), Qwen2.5-Coder-32B: 37.9 (#204)
| Benchmark | Claude Opus 5 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Longer Query | 1516 | 1251 |
Writing & Preference Claude Opus 5 leads
Claude Opus 5: 79.3 (#2), Qwen2.5-Coder-32B: 41.8 (#235)
| Benchmark | Claude Opus 5 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Text | 1506 | 1230 |
| LMArena Creative Writing | 1491 | 1174 |
| LMArena Multi-Turn | 1496 | 1222 |
| EQ-Bench Creative Writing | 2133 | — |
| EQ-Bench 4 | 1385 | — |
| LiveBench Language | — | 23.3% |
Frequently asked questions
Is Claude Opus 5 better than Qwen2.5-Coder-32B?
Claude Opus 5 is the stronger model overall, scoring 67.7 to 32.9 on the Noometry Index. Qwen2.5-Coder-32B costs 13× 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 Qwen2.5-Coder-32B?
Qwen2.5-Coder-32B is cheaper. It lists at $0.66 per million input tokens and $1 per million output tokens; Claude Opus 5 lists at $5 and $25.
Is Claude Opus 5 or Qwen2.5-Coder-32B better for coding?
Claude Opus 5 scores higher on coding benchmarks: 67.0 versus 22.4 in the Noometry coding category.
Which has the bigger context window?
Claude Opus 5 does, with 1M tokens against 33K.
How many benchmarks do Claude Opus 5 and Qwen2.5-Coder-32B share?
13 benchmarks have published results for both models. Claude Opus 5 has 57 scored results on Noometry and Qwen2.5-Coder-32B has 31.