Model comparison
Claude Sonnet 4.6 vs GPT-6 Sol
Claude Sonnet 4.6 and GPT-6 Sol score almost the same on the Noometry Index (50.1 vs 49.2), so choose on price, context window or the category you care about most.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. Claude Sonnet 4.6 scores higher in 6 categories and GPT-6 Sol in 4 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Sonnet 4.6 leads 51.9 to 35.8.
- The biggest single-benchmark swing is DeepSWE: 29.9% for Claude Sonnet 4.6 and 68.8% for GPT-6 Sol.
- GPT-6 Sol is cheaper at $2 / $10 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.6.
- GPT-6 Sol accepts more context: 1.05M tokens versus 1M.
Side by side
| Claude Sonnet 4.6 | GPT-6 Sol | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 50.1 | 49.2 |
| Released | 2026-02-17 | 2026-09-22 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 1.05M |
| Max output | 128K | 128K |
| Input $ / M tokens | $3 | $2 |
| Output $ / M tokens | $15 | $10 |
| Results tracked | 57 | 22 |
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Category by category
Coding GPT-6 Sol leads
Claude Sonnet 4.6: 46.0 (#62), GPT-6 Sol: 59.6 (#11)
| Benchmark | Claude Sonnet 4.6 | GPT-6 Sol |
|---|---|---|
| DeepSWE | 29.9% | 68.8% |
| FrontierCode | 24.3% | 49.3% |
| LMArena WebDev | 1521 | 1692 |
| LMArena Coding | 1504 | 1453 |
| SWE-bench Verified | 75.2% | — |
| SciCode | 46.8% | — |
| WeirdML | 66.1% | — |
| ALE-Bench | 1,327 | — |
Agentic & Tool Use Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 39.1 (#26), GPT-6 Sol: 33.5 (#49)
| Benchmark | Claude Sonnet 4.6 | GPT-6 Sol |
|---|---|---|
| GDP.pdf | 18% | 28% |
| 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% | — |
| LMArena Search | 1221 | — |
| Vending-Bench 2 | 7,204 | — |
Reasoning GPT-6 Sol leads
Claude Sonnet 4.6: 46.1 (#40), GPT-6 Sol: 49.3 (#34)
| Benchmark | Claude Sonnet 4.6 | GPT-6 Sol |
|---|---|---|
| NYT Connections (extended) | 80.9% | 90.1% |
| LMArena Hard Prompts | 1485 | 1420 |
| ARC-AGI-2 | 60.4% | — |
| ARC-AGI-1 | 86.5% | — |
| CritPt | 3.1% | — |
| Chess Puzzles | 13% | — |
| Thematic Generalization | 76.3% | — |
| EBR-Bench | — | 53.3% |
| Mystery Game Puzzles | 16% | — |
| DTBench | 89.9% | — |
| LMCA | 46.5% | — |
| Epoch Capabilities Index | 152.25 | — |
| ForecastBench | 62 | — |
Math Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 51.9 (#41), GPT-6 Sol: 35.8 (#135)
| Benchmark | Claude Sonnet 4.6 | GPT-6 Sol |
|---|---|---|
| LMArena Math | 1463 | 1404 |
| OTIS Mock AIME 2024-2025 | 85.8% | — |
| ProofBench | 45% | — |
| 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), GPT-6 Sol: 43.0 (#87)
| Benchmark | Claude Sonnet 4.6 | GPT-6 Sol |
|---|---|---|
| Vectara Hallucination Rate | 10.6% | 6.5% |
| LMArena Expert | 1500 | 1449 |
| GPQA Diamond | 87.4% | — |
| SimpleQA Verified | 35.5% | — |
Multimodal GPT-6 Sol leads
Claude Sonnet 4.6: 38.0 (#61), GPT-6 Sol: 47.6 (#9)
| Benchmark | Claude Sonnet 4.6 | GPT-6 Sol |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 6.7% | — |
| Furniture Assembly | — | 58.3% |
| LMArena Document | 1482 | — |
Multilingual Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 54.6 (#39), GPT-6 Sol: 51.0 (#113)
| Benchmark | Claude Sonnet 4.6 | GPT-6 Sol |
|---|---|---|
| LMArena Non-English | 1440 | 1389 |
| LMArena Chinese | 1491 | 1416 |
| LMArena Russian | 1440 | 1407 |
| LMArena Spanish | 1465 | 1377 |
| LMArena French | 1465 | — |
| LMArena German | 1428 | — |
| LMArena Japanese | 1419 | — |
| LMArena Korean | 1411 | — |
Instruction Following Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 77.6 (#23), GPT-6 Sol: 74.4 (#97)
| Benchmark | Claude Sonnet 4.6 | GPT-6 Sol |
|---|---|---|
| LMArena Instruction Following | 1476 | 1406 |
Long Context Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 45.3 (#40), GPT-6 Sol: 43.2 (#100)
| Benchmark | Claude Sonnet 4.6 | GPT-6 Sol |
|---|---|---|
| LMArena Longer Query | 1479 | 1415 |
Writing & Preference GPT-6 Sol leads
Claude Sonnet 4.6: 70.4 (#22), GPT-6 Sol: 72.3 (#15)
| Benchmark | Claude Sonnet 4.6 | GPT-6 Sol |
|---|---|---|
| LMArena Text | 1458 | 1396 |
| LMArena Creative Writing | 1435 | 1392 |
| EQ-Bench Creative Writing | 1810 | 2125 |
| LMArena Multi-Turn | 1464 | 1405 |
| EQ-Bench 4 | 1207 | — |
Frequently asked questions
Is Claude Sonnet 4.6 better than GPT-6 Sol?
Claude Sonnet 4.6 and GPT-6 Sol score almost the same on the Noometry Index (50.1 vs 49.2), so choose on price, context window or the category you care about most.
Which is cheaper, Claude Sonnet 4.6 or GPT-6 Sol?
GPT-6 Sol is cheaper. It lists at $2 per million input tokens and $10 per million output tokens; Claude Sonnet 4.6 lists at $3 and $15.
Is Claude Sonnet 4.6 or GPT-6 Sol better for coding?
GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 46.0 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Sol does, with 1.05M tokens against 1M.
How many benchmarks do Claude Sonnet 4.6 and GPT-6 Sol share?
20 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and GPT-6 Sol has 22.