Model comparison
Claude Sonnet 4.6 vs Qwen2.5 14B Instruct
Claude Sonnet 4.6 has enough public results to be ranked (#42); Qwen2.5 14B Instruct does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in coding, where Claude Sonnet 4.6 leads 46.0 to 37.1.
- Qwen2.5 14B Instruct is cheaper at $0.35 / $1.40 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 14B Instruct has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.6 | Qwen2.5 14B Instruct | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 50.1 | 38.2 |
| Released | 2026-02-17 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 1M | 131K |
| Max output | 128K | 8K |
| Input $ / M tokens | $3 | $0.35 |
| Output $ / M tokens | $15 | $1.40 |
| Results tracked | 57 | 3 |
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Category by category
Coding Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.0 (#62), Qwen2.5 14B Instruct: 37.1 (#187)
| Benchmark | Claude Sonnet 4.6 | Qwen2.5 14B Instruct |
|---|---|---|
| SWE-bench Verified | 75.2% | — |
| DeepSWE | 29.9% | — |
| FrontierCode | 24.3% | — |
| LMArena WebDev | 1521 | — |
| SciCode | 46.8% | — |
| WeirdML | 66.1% | — |
| BigCodeBench Instruct | — | 39.8% |
| LMArena Coding | 1504 | — |
| BigCodeBench Complete | — | 52.2% |
| ALE-Bench | 1,327 | — |
Agentic & Tool Use Not comparable
Claude Sonnet 4.6: 39.1 (#26), Qwen2.5 14B Instruct: —
| Benchmark | Claude Sonnet 4.6 | Qwen2.5 14B Instruct |
|---|---|---|
| Terminal-Bench | 53.4% | — |
| APEX-Agents | 43% | — |
| OSWorld 2.0 | 9.3% | — |
| DeepResearch Bench | 54.9% | — |
| OSWorld | 72.1% | — |
| ExploitBench | 23.6% | — |
| GBAEval | 48.8% | — |
| GDP.pdf | 18% | — |
| LMArena Search | 1221 | — |
| Vending-Bench 2 | 7,204 | — |
Reasoning Not comparable
Claude Sonnet 4.6: 46.1 (#40), Qwen2.5 14B Instruct: —
| Benchmark | Claude Sonnet 4.6 | Qwen2.5 14B Instruct |
|---|---|---|
| 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% | — |
| LMArena Hard Prompts | 1485 | — |
| Mystery Game Puzzles | 16% | — |
| DTBench | 89.9% | — |
| LMCA | 46.5% | — |
| Epoch Capabilities Index | 152.25 | — |
| ForecastBench | 62 | — |
Math Not comparable
Claude Sonnet 4.6: 51.9 (#41), Qwen2.5 14B Instruct: —
| Benchmark | Claude Sonnet 4.6 | Qwen2.5 14B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 85.8% | — |
| ProofBench | 45% | — |
| LMArena Math | 1463 | — |
| FrontierMath (Feb 2025 set) | 32.4% | — |
| FrontierMath Tier 4 (v1) | 8.3% | — |
Knowledge Not comparable
Claude Sonnet 4.6: 51.6 (#60), Qwen2.5 14B Instruct: —
| Benchmark | Claude Sonnet 4.6 | Qwen2.5 14B Instruct |
|---|---|---|
| GPQA Diamond | 87.4% | — |
| SimpleQA Verified | 35.5% | — |
| Vectara Hallucination Rate | 10.6% | — |
| LMArena Expert | 1500 | — |
| MMLU | — | 79.9% |
Multimodal Not comparable
Claude Sonnet 4.6: 38.0 (#61), Qwen2.5 14B Instruct: —
| Benchmark | Claude Sonnet 4.6 | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |
Multilingual Not comparable
Claude Sonnet 4.6: 54.6 (#39), Qwen2.5 14B Instruct: —
| Benchmark | Claude Sonnet 4.6 | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Non-English | 1440 | — |
| LMArena Chinese | 1491 | — |
| LMArena French | 1465 | — |
| LMArena German | 1428 | — |
| LMArena Japanese | 1419 | — |
| LMArena Korean | 1411 | — |
| LMArena Russian | 1440 | — |
| LMArena Spanish | 1465 | — |
Instruction Following Not comparable
Claude Sonnet 4.6: 77.6 (#23), Qwen2.5 14B Instruct: —
| Benchmark | Claude Sonnet 4.6 | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Instruction Following | 1476 | — |
Long Context Not comparable
Claude Sonnet 4.6: 45.3 (#40), Qwen2.5 14B Instruct: —
| Benchmark | Claude Sonnet 4.6 | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Longer Query | 1479 | — |
Writing & Preference Not comparable
Claude Sonnet 4.6: 70.4 (#22), Qwen2.5 14B Instruct: —
| Benchmark | Claude Sonnet 4.6 | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Text | 1458 | — |
| LMArena Creative Writing | 1435 | — |
| EQ-Bench Creative Writing | 1810 | — |
| EQ-Bench 4 | 1207 | — |
| LMArena Multi-Turn | 1464 | — |
Frequently asked questions
Is Claude Sonnet 4.6 better than Qwen2.5 14B Instruct?
Claude Sonnet 4.6 has enough public results to be ranked (#42); Qwen2.5 14B Instruct does not yet, so treat this comparison as directional.
Which is cheaper, Claude Sonnet 4.6 or Qwen2.5 14B Instruct?
Qwen2.5 14B Instruct is cheaper. It lists at $0.35 per million input tokens and $1.40 per million output tokens; Claude Sonnet 4.6 lists at $3 and $15.
Is Claude Sonnet 4.6 or Qwen2.5 14B Instruct better for coding?
Claude Sonnet 4.6 scores higher on coding benchmarks: 46.0 versus 37.1 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 14B Instruct share?
0 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and Qwen2.5 14B Instruct has 3.