Model comparison
Claude Sonnet 4.5 vs Qwen Turbo
Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 27.1 on the Noometry Index. Qwen Turbo costs 69× less per token, which makes it the better buy when Claude Sonnet 4.5's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. Claude Sonnet 4.5 scores higher in 2 categories and Qwen Turbo in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude Sonnet 4.5 leads 48.4 to 22.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 77.8% for Claude Sonnet 4.5 and 6.1% for Qwen Turbo.
- Qwen Turbo is cheaper at $0.05 / $0.20 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.5.
- Qwen Turbo accepts more context: 1M tokens versus 200K.
Side by side
| Claude Sonnet 4.5 | Qwen Turbo | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 44.1 | 27.1 |
| Released | 2025-09-29 | 2024-11-01 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 1M |
| Max output | 64K | 16K |
| Input $ / M tokens | $3 | $0.05 |
| Output $ / M tokens | $15 | $0.20 |
| Results tracked | 73 | 3 |
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Category by category
Coding Not comparable
Claude Sonnet 4.5: 47.3 (#61), Qwen Turbo: —
| Benchmark | Claude Sonnet 4.5 | Qwen Turbo |
|---|---|---|
| SWE-bench Verified | 71.3% | — |
| SWE-bench Verified (bash only) | 71.4% | — |
| LMArena WebDev | 1393 | — |
| SWE-bench Multilingual | 67% | — |
| SciCode | 44.7% | — |
| GSO | 14.7% | — |
| WeirdML | 47.7% | — |
| LMArena Coding | 1489 | — |
| ALE-Bench | 796.15 | — |
| AlgoTune | 1.52 | — |
Agentic & Tool Use Not comparable
Claude Sonnet 4.5: 38.3 (#32), Qwen Turbo: —
| Benchmark | Claude Sonnet 4.5 | Qwen Turbo |
|---|---|---|
| Terminal-Bench | 46.5% | — |
| Berkeley Function Calling Leaderboard | 73.2% | — |
| GDPval | 42.5% | — |
| Remote Labor Index | 2.1% | — |
| τ²-bench Airline | 72% | — |
| τ²-bench Banking | 25.3% | — |
| τ²-bench Retail | 72.4% | — |
| τ²-bench Telecom | 84.9% | — |
| Cybench | 60% | — |
| DeepResearch Bench | 52.6% | — |
| OSWorld | 62.9% | — |
| LMArena Search | 1159 | — |
| METR Time Horizons | 67.4% | — |
| Vending-Bench 2 | 3,839 | — |
Reasoning Not comparable
Claude Sonnet 4.5: 26.9 (#125), Qwen Turbo: —
| Benchmark | Claude Sonnet 4.5 | Qwen Turbo |
|---|---|---|
| ARC-AGI-2 | 13.6% | — |
| SimpleBench | 54.3% | — |
| Kagi LLM Benchmark | 57.9% | — |
| NYT Connections (extended) | 37.3% | — |
| ARC-AGI-1 | 63.7% | — |
| CritPt | 1.1% | — |
| Chess Puzzles | 12% | — |
| EnigmaEval | 6% | — |
| EBR-Bench | 2.4% | — |
| LMArena Hard Prompts | 1462 | — |
| Mystery Game Puzzles | 17% | — |
| DTBench | 83.2% | — |
| LMCA | 38.8% | — |
| Epoch Capabilities Index | 146.84 | — |
| ForecastBench | 61.9 | — |
Math Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 32.3 (#216), Qwen Turbo: 15.3 (#297)
| Benchmark | Claude Sonnet 4.5 | Qwen Turbo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 77.8% | 6.1% |
| MATH Level 5 | 97.7% | 56.2% |
| FrontierMath (Tiers 1-3) | 23.9% | — |
| FrontierMath Tier 4 | 2.4% | — |
| ProofBench | 19% | — |
| Omni-MATH | 55.3% | — |
| LMArena Math | 1449 | — |
| FrontierMath (Feb 2025 set) | 15.2% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 48.4 (#76), Qwen Turbo: 22.2 (#272)
| Benchmark | Claude Sonnet 4.5 | Qwen Turbo |
|---|---|---|
| GPQA Diamond | 82.3% | 41.8% |
| Humanity's Last Exam | 13.7% | — |
| SimpleQA Verified | 30.7% | — |
| MMLU-Pro | 86.9% | — |
| Vectara Hallucination Rate | 12% | — |
| GPQA (HELM) | 68.6% | — |
| LMArena Expert | 1482 | — |
Multimodal Not comparable
Claude Sonnet 4.5: 34.8 (#89), Qwen Turbo: —
| Benchmark | Claude Sonnet 4.5 | Qwen Turbo |
|---|---|---|
| VPCT | 39.8% | — |
| LMArena Document | 1450 | — |
Multilingual Not comparable
Claude Sonnet 4.5: 53.4 (#69), Qwen Turbo: —
| Benchmark | Claude Sonnet 4.5 | Qwen Turbo |
|---|---|---|
| LMArena Non-English | 1425 | — |
| LMArena Chinese | 1459 | — |
| LMArena French | 1458 | — |
| LMArena German | 1427 | — |
| LMArena Japanese | 1390 | — |
| LMArena Korean | 1403 | — |
| LMArena Russian | 1437 | — |
| LMArena Spanish | 1457 | — |
Instruction Following Not comparable
Claude Sonnet 4.5: 75.0 (#78), Qwen Turbo: —
| Benchmark | Claude Sonnet 4.5 | Qwen Turbo |
|---|---|---|
| IFEval | 85% | — |
| LMArena Instruction Following | 1459 | — |
Long Context Not comparable
Claude Sonnet 4.5: 45.2 (#46), Qwen Turbo: —
| Benchmark | Claude Sonnet 4.5 | Qwen Turbo |
|---|---|---|
| LMArena Longer Query | 1476 | — |
Writing & Preference Not comparable
Claude Sonnet 4.5: 66.5 (#34), Qwen Turbo: —
| Benchmark | Claude Sonnet 4.5 | Qwen Turbo |
|---|---|---|
| LMArena Text | 1439 | — |
| LMArena Creative Writing | 1442 | — |
| EQ-Bench Creative Writing | 1678 | — |
| WildBench | 85.4% | — |
| LMArena Multi-Turn | 1465 | — |
Frequently asked questions
Is Claude Sonnet 4.5 better than Qwen Turbo?
Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 27.1 on the Noometry Index. Qwen Turbo costs 69× less per token, which makes it the better buy when Claude Sonnet 4.5's lead doesn't matter for your workload.
Which is cheaper, Claude Sonnet 4.5 or Qwen Turbo?
Qwen Turbo is cheaper. It lists at $0.05 per million input tokens and $0.20 per million output tokens; Claude Sonnet 4.5 lists at $3 and $15.
Which has the bigger context window?
Qwen Turbo does, with 1M tokens against 200K.
How many benchmarks do Claude Sonnet 4.5 and Qwen Turbo share?
3 benchmarks have published results for both models. Claude Sonnet 4.5 has 73 scored results on Noometry and Qwen Turbo has 3.