Model comparison
Claude Sonnet 4.6 vs Qwen3 14B
Claude Sonnet 4.6 is the stronger model overall, scoring 50.1 to 35.0 on the Noometry Index. Qwen3 14B costs 9.8× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.
Last verified . 9 shared benchmarks.
Summary
- They share 9 benchmarks with published results for both. Claude Sonnet 4.6 scores higher in 6 categories and Qwen3 14B in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Sonnet 4.6 leads 46.1 to 18.1.
- The biggest single-benchmark swing is LMCA: 46.5% for Claude Sonnet 4.6 and 18.2% for Qwen3 14B.
- Qwen3 14B 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.
- Qwen3 14B has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.6 | Qwen3 14B | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 50.1 | 35.0 |
| Released | 2026-02-17 | 2025-04 |
| 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 | 12 |
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Category by category
Coding Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.0 (#62), Qwen3 14B: 36.7 (#191)
| Benchmark | Claude Sonnet 4.6 | Qwen3 14B |
|---|---|---|
| SciCode | 46.8% | 31.6% |
| SWE-bench Verified | 75.2% | — |
| DeepSWE | 29.9% | — |
| FrontierCode | 24.3% | — |
| LMArena WebDev | 1521 | — |
| WeirdML | 66.1% | — |
| LMArena Coding | 1504 | — |
| ALE-Bench | 1,327 | — |
Agentic & Tool Use Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 39.1 (#26), Qwen3 14B: 29.4 (#78)
| Benchmark | Claude Sonnet 4.6 | Qwen3 14B |
|---|---|---|
| Terminal-Bench | 53.4% | — |
| APEX-Agents | 43% | — |
| Berkeley Function Calling Leaderboard | — | 41% |
| 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 Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.1 (#40), Qwen3 14B: 18.1 (#272)
| Benchmark | Claude Sonnet 4.6 | Qwen3 14B |
|---|---|---|
| CritPt | 3.1% | 0% |
| Chess Puzzles | 13% | 4% |
| DTBench | 89.9% | 64% |
| LMCA | 46.5% | 18.2% |
| Epoch Capabilities Index | 152.25 | 138.23 |
| ARC-AGI-2 | 60.4% | — |
| Kagi LLM Benchmark | — | 49.1% |
| NYT Connections (extended) | 80.9% | — |
| ARC-AGI-1 | 86.5% | — |
| Thematic Generalization | 76.3% | — |
| LMArena Hard Prompts | 1485 | — |
| Mystery Game Puzzles | 16% | — |
| ForecastBench | 62 | — |
Math Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 51.9 (#41), Qwen3 14B: 37.0 (#102)
| Benchmark | Claude Sonnet 4.6 | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 85.8% | 66.4% |
| ProofBench | 45% | — |
| LMArena Math | 1463 | — |
| FrontierMath (Feb 2025 set) | 32.4% | — |
| FrontierMath Tier 4 (v1) | 8.3% | — |
Knowledge Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 51.6 (#60), Qwen3 14B: 39.2 (#124)
| Benchmark | Claude Sonnet 4.6 | Qwen3 14B |
|---|---|---|
| GPQA Diamond | 87.4% | 63.8% |
| Vectara Hallucination Rate | 10.6% | 5.4% |
| SimpleQA Verified | 35.5% | — |
| LMArena Expert | 1500 | — |
Multimodal Not comparable
Claude Sonnet 4.6: 38.0 (#61), Qwen3 14B: —
| Benchmark | Claude Sonnet 4.6 | Qwen3 14B |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |
Multilingual Not comparable
Claude Sonnet 4.6: 54.6 (#39), Qwen3 14B: —
| Benchmark | Claude Sonnet 4.6 | Qwen3 14B |
|---|---|---|
| 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), Qwen3 14B: —
| Benchmark | Claude Sonnet 4.6 | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1476 | — |
Long Context Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 45.3 (#40), Qwen3 14B: 38.0 (#201)
| Benchmark | Claude Sonnet 4.6 | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
| LMArena Longer Query | 1479 | — |
Writing & Preference Not comparable
Claude Sonnet 4.6: 70.4 (#22), Qwen3 14B: —
| Benchmark | Claude Sonnet 4.6 | Qwen3 14B |
|---|---|---|
| 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 Qwen3 14B?
Claude Sonnet 4.6 is the stronger model overall, scoring 50.1 to 35.0 on the Noometry Index. Qwen3 14B costs 9.8× 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 Qwen3 14B?
Qwen3 14B 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 Qwen3 14B better for coding?
Claude Sonnet 4.6 scores higher on coding benchmarks: 46.0 versus 36.7 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 Qwen3 14B share?
9 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and Qwen3 14B has 12.