Model comparison
Claude Sonnet 4.6 vs Qwen2.5 72B Instruct
Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 31.9 on the Noometry Index. Qwen2.5 72B Instruct costs 2.4× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.
Last verified . 24 shared benchmarks.
Summary
- They share 24 benchmarks with published results for both. Claude Sonnet 4.6 scores higher in 9 categories and Qwen2.5 72B Instruct in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Sonnet 4.6 leads 52.9 to 19.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 85.8% for Claude Sonnet 4.6 and 8.1% for Qwen2.5 72B Instruct.
- Qwen2.5 72B Instruct is cheaper at $1.40 / $5.60 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.6.
- Claude Sonnet 4.6 accepts more context: 1M tokens versus 131K.
- Qwen2.5 72B Instruct has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.6 | Qwen2.5 72B Instruct | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 50.3 | 31.9 |
| Released | 2026-02-17 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 1M | 131K |
| Max output | 128K | 8K |
| Input $ / M tokens | $3 | $1.40 |
| Output $ / M tokens | $15 | $5.60 |
| Results tracked | 57 | 43 |
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Category by category
Coding Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.3 (#67), Qwen2.5 72B Instruct: 33.2 (#260)
| Benchmark | Claude Sonnet 4.6 | Qwen2.5 72B Instruct |
|---|---|---|
| WeirdML | 66.1% | 16% |
| LMArena Coding | 1504 | 1292 |
| SWE-bench Verified | 75.2% | — |
| DeepSWE | 29.9% | — |
| FrontierCode | 24.3% | — |
| LMArena WebDev | 1522 | — |
| SciCode | 46.8% | — |
| BigCodeBench Instruct | — | 45.8% |
| BigCodeBench Complete | — | 55.9% |
| ALE-Bench | 1,327 | — |
Agentic & Tool Use Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 39.1 (#28), Qwen2.5 72B Instruct: 22.1 (#133)
| Benchmark | Claude Sonnet 4.6 | Qwen2.5 72B Instruct |
|---|---|---|
| Terminal-Bench | 53.4% | — |
| APEX-Agents | 43% | — |
| OSWorld 2.0 | 9.3% | — |
| TheAgentCompany | — | 5.7% |
| DeepResearch Bench | 54.9% | — |
| OSWorld | 72.1% | — |
| BALROG | — | 16.2% |
| ExploitBench | 23.6% | — |
| GBAEval | 48.8% | — |
| GDP.pdf | 18% | — |
| LMArena Search | 1221 | — |
| METR Time Horizons | — | 35.8% |
| Vending-Bench 2 | 7,204 | — |
Reasoning Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.1 (#45), Qwen2.5 72B Instruct: 22.3 (#199)
| Benchmark | Claude Sonnet 4.6 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1484 | 1271 |
| DTBench | 89.9% | 62.9% |
| LMCA | 46.5% | 13.4% |
| Epoch Capabilities Index | 152.24 | 129 |
| ForecastBench | 62 | 57.5 |
| ARC-AGI-2 | 60.4% | — |
| NYT Connections (extended) | 80.9% | — |
| ARC-AGI-1 | 86.5% | — |
| CritPt | 3.1% | — |
| Chess Puzzles | 13% | — |
| Thematic Generalization | 76.3% | — |
| Mystery Game Puzzles | 16% | — |
| BIG-Bench Hard | — | 79.8% |
| HellaSwag | — | 84.8% |
| PIQA | — | 82.6% |
| WinoGrande | — | 82.3% |
Math Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 52.9 (#49), Qwen2.5 72B Instruct: 19.3 (#287)
| Benchmark | Claude Sonnet 4.6 | Qwen2.5 72B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 85.8% | 8.1% |
| LMArena Math | 1462 | 1283 |
| ProofBench | 45% | — |
| Omni-MATH | — | 33% |
| MATH Level 5 | — | 63.2% |
| FrontierMath (Feb 2025 set) | 32.4% | — |
| FrontierMath Tier 4 (v1) | 8.3% | — |
Knowledge Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 51.7 (#65), Qwen2.5 72B Instruct: 27.0 (#253)
| Benchmark | Claude Sonnet 4.6 | Qwen2.5 72B Instruct |
|---|---|---|
| GPQA Diamond | 87.4% | 49.1% |
| LMArena Expert | 1500 | 1245 |
| SimpleQA Verified | 35.5% | — |
| MMLU-Pro | — | 63.1% |
| Confabulations | — | 19.1% |
| Vectara Hallucination Rate | 10.6% | — |
| GPQA (HELM) | — | 42.6% |
| ARC (AI2) Challenge | — | 94.5% |
| MMLU | — | 85.3% |
| TriviaQA | — | 71.9% |
Multimodal Not comparable
Claude Sonnet 4.6: 38.0 (#68), Qwen2.5 72B Instruct: —
| Benchmark | Claude Sonnet 4.6 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |
Multilingual Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 54.4 (#41), Qwen2.5 72B Instruct: 41.0 (#213)
| Benchmark | Claude Sonnet 4.6 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Non-English | 1440 | 1252 |
| LMArena Chinese | 1491 | 1272 |
| LMArena French | 1465 | 1280 |
| LMArena German | 1428 | 1234 |
| LMArena Japanese | 1420 | 1180 |
| LMArena Korean | 1411 | 1188 |
| LMArena Russian | 1440 | 1264 |
| LMArena Spanish | 1464 | 1256 |
Instruction Following Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 77.4 (#25), Qwen2.5 72B Instruct: 65.5 (#221)
| Benchmark | Claude Sonnet 4.6 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Instruction Following | 1475 | 1254 |
| IFEval | — | 80.6% |
Long Context Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 45.3 (#44), Qwen2.5 72B Instruct: 38.9 (#188)
| Benchmark | Claude Sonnet 4.6 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Longer Query | 1479 | 1282 |
Writing & Preference Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 70.2 (#22), Qwen2.5 72B Instruct: 46.7 (#215)
| Benchmark | Claude Sonnet 4.6 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Text | 1458 | 1269 |
| LMArena Creative Writing | 1435 | 1221 |
| LMArena Multi-Turn | 1464 | 1272 |
| EQ-Bench Creative Writing | 1810 | — |
| WildBench | — | 80.2% |
| EQ-Bench 4 | 1207 | — |
Frequently asked questions
Is Claude Sonnet 4.6 better than Qwen2.5 72B Instruct?
Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 31.9 on the Noometry Index. Qwen2.5 72B Instruct costs 2.4× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.
Which is cheaper, Claude Sonnet 4.6 or Qwen2.5 72B Instruct?
Qwen2.5 72B Instruct is cheaper. It lists at $1.40 per million input tokens and $5.60 per million output tokens; Claude Sonnet 4.6 lists at $3 and $15.
Is Claude Sonnet 4.6 or Qwen2.5 72B Instruct better for coding?
Claude Sonnet 4.6 scores higher on coding benchmarks: 46.3 versus 33.2 in the Noometry coding category.
Which has the bigger context window?
Claude Sonnet 4.6 does, with 1M tokens against 131K.
How many benchmarks do Claude Sonnet 4.6 and Qwen2.5 72B Instruct share?
24 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and Qwen2.5 72B Instruct has 43.