Model comparison
Claude Sonnet 5.5 vs Qwen2.5 7B Instruct
Claude Sonnet 5.5 is the stronger model overall, scoring 61.9 to 29.0 on the Noometry Index. Qwen2.5 7B Instruct costs 13× less per token, which makes it the better buy when Claude Sonnet 5.5's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
Summary
- They share 3 benchmarks with published results for both. Claude Sonnet 5.5 scores higher in 7 categories and Qwen2.5 7B Instruct in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Sonnet 5.5 leads 87.9 to 12.6.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for Claude Sonnet 5.5 and 2.5% for Qwen2.5 7B Instruct.
- Qwen2.5 7B Instruct is cheaper at $0.17 / $0.70 per million input/output tokens, against $2 / $10 for Claude Sonnet 5.5.
- Claude Sonnet 5.5 accepts more context: 1M tokens versus 131K.
- Qwen2.5 7B Instruct has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 5.5 | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 61.9 | 29.0 |
| Released | 2026-09-28 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 1M | 131K |
| Max output | 128K | 8K |
| Input $ / M tokens | $2 | $0.17 |
| Output $ / M tokens | $10 | $0.70 |
| Results tracked | 32 | 15 |
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Category by category
Coding Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 67.3 (#6), Qwen2.5 7B Instruct: 36.5 (#208)
| Benchmark | Claude Sonnet 5.5 | Qwen2.5 7B Instruct |
|---|---|---|
| FrontierCode | 52.1% | — |
| CursorBench | 55.5% | — |
| LMArena WebDev | 1774 | — |
| FrontierSWE | 61.9% | — |
| SciCode | 61% | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1513 | — |
| BigCodeBench Complete | — | 46.1% |
| ALE-Bench | 1,819 | — |
Agentic & Tool Use Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 45.0 (#16), Qwen2.5 7B Instruct: 23.8 (#124)
| Benchmark | Claude Sonnet 5.5 | Qwen2.5 7B Instruct |
|---|---|---|
| APEX-Agents | 75.5% | — |
| BALROG | — | 7.8% |
Reasoning Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 54.0 (#28), Qwen2.5 7B Instruct: 14.8 (#322)
| Benchmark | Claude Sonnet 5.5 | Qwen2.5 7B Instruct |
|---|---|---|
| Epoch Capabilities Index | 165.03 | 118.51 |
| NYT Connections (extended) | 80.5% | — |
| CritPt | 31.4% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1495 | — |
| Mystery Game Puzzles | 65% | — |
| DTBench | — | 47.7% |
| LMCA | — | 6.4% |
Math Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 87.9 (#6), Qwen2.5 7B Instruct: 12.6 (#306)
| Benchmark | Claude Sonnet 5.5 | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 2.5% |
| FrontierMath (Tiers 1-3) | 88.8% | — |
| FrontierMath Tier 4 | 80.5% | — |
| ProofBench | 100% | — |
| Omni-MATH | — | 29.4% |
| LMArena Math | 1510 | — |
| FrontierMath Erdős | 2.9% | — |
Knowledge Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 66.0 (#12), Qwen2.5 7B Instruct: 17.0 (#286)
| Benchmark | Claude Sonnet 5.5 | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | 95.6% | 35.5% |
| SimpleQA Verified | 46.5% | — |
| MMLU-Pro | — | 53.9% |
| GPQA (HELM) | — | 34.1% |
| LMArena Expert | 1540 | — |
| MMLU | — | 72.9% |
Multimodal Not comparable
Claude Sonnet 5.5: 51.5 (#6), Qwen2.5 7B Instruct: —
| Benchmark | Claude Sonnet 5.5 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Vision | 1289 | — |
| Furniture Assembly | 75% | — |
Multilingual Not comparable
Claude Sonnet 5.5: 55.3 (#30), Qwen2.5 7B Instruct: —
| Benchmark | Claude Sonnet 5.5 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Non-English | 1452 | — |
| LMArena Chinese | 1522 | — |
| LMArena Russian | 1451 | — |
Instruction Following Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 78.3 (#11), Qwen2.5 7B Instruct: 63.2 (#231)
| Benchmark | Claude Sonnet 5.5 | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
| LMArena Instruction Following | 1495 | — |
Long Context Not comparable
Claude Sonnet 5.5: 45.9 (#28), Qwen2.5 7B Instruct: —
| Benchmark | Claude Sonnet 5.5 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Longer Query | 1498 | — |
Writing & Preference Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 66.0 (#40), Qwen2.5 7B Instruct: 48.8 (#195)
| Benchmark | Claude Sonnet 5.5 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Text | 1471 | — |
| LMArena Creative Writing | 1465 | — |
| WildBench | — | 73.1% |
| LMArena Multi-Turn | 1474 | — |
Frequently asked questions
Is Claude Sonnet 5.5 better than Qwen2.5 7B Instruct?
Claude Sonnet 5.5 is the stronger model overall, scoring 61.9 to 29.0 on the Noometry Index. Qwen2.5 7B Instruct costs 13× less per token, which makes it the better buy when Claude Sonnet 5.5's lead doesn't matter for your workload.
Which is cheaper, Claude Sonnet 5.5 or Qwen2.5 7B Instruct?
Qwen2.5 7B Instruct is cheaper. It lists at $0.17 per million input tokens and $0.70 per million output tokens; Claude Sonnet 5.5 lists at $2 and $10.
Is Claude Sonnet 5.5 or Qwen2.5 7B Instruct better for coding?
Claude Sonnet 5.5 scores higher on coding benchmarks: 67.3 versus 36.5 in the Noometry coding category.
Which has the bigger context window?
Claude Sonnet 5.5 does, with 1M tokens against 131K.
How many benchmarks do Claude Sonnet 5.5 and Qwen2.5 7B Instruct share?
3 benchmarks have published results for both models. Claude Sonnet 5.5 has 32 scored results on Noometry and Qwen2.5 7B Instruct has 15.