Model comparison
Claude Sonnet 4.6 vs GPT-6.1 Sol
Claude Sonnet 4.6 has enough public results to be ranked (#42); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both. Claude Sonnet 4.6 scores higher in 1 category and GPT-6.1 Sol in 1 category; 2 gaps are clear of the uncertainty.
- The widest gap is in coding, where GPT-6.1 Sol leads 51.4 to 46.0.
- The biggest single-benchmark swing is DeepSWE: 29.9% for Claude Sonnet 4.6 and 75.2% for GPT-6.1 Sol.
- GPT-6.1 Sol is cheaper at $2 / $10 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.6.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 1M.
Side by side
| Claude Sonnet 4.6 | GPT-6.1 Sol | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 50.1 | 42.1 |
| Released | 2026-02-17 | 2026-09-29 |
| 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 | 2 |
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Category by category
Coding GPT-6.1 Sol leads
Claude Sonnet 4.6: 46.0 (#62), GPT-6.1 Sol: 51.4
| Benchmark | Claude Sonnet 4.6 | GPT-6.1 Sol |
|---|---|---|
| DeepSWE | 29.9% | 75.2% |
| SWE-bench Verified | 75.2% | — |
| FrontierCode | 24.3% | — |
| LMArena WebDev | 1521 | — |
| SciCode | 46.8% | — |
| 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), GPT-6.1 Sol: 34.3
| Benchmark | Claude Sonnet 4.6 | GPT-6.1 Sol |
|---|---|---|
| GDP.pdf | 18% | 32% |
| 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 Not comparable
Claude Sonnet 4.6: 46.1 (#40), GPT-6.1 Sol: —
| Benchmark | Claude Sonnet 4.6 | GPT-6.1 Sol |
|---|---|---|
| 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), GPT-6.1 Sol: —
| Benchmark | Claude Sonnet 4.6 | GPT-6.1 Sol |
|---|---|---|
| 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), GPT-6.1 Sol: —
| Benchmark | Claude Sonnet 4.6 | GPT-6.1 Sol |
|---|---|---|
| GPQA Diamond | 87.4% | — |
| SimpleQA Verified | 35.5% | — |
| Vectara Hallucination Rate | 10.6% | — |
| LMArena Expert | 1500 | — |
Multimodal Not comparable
Claude Sonnet 4.6: 38.0 (#61), GPT-6.1 Sol: —
| Benchmark | Claude Sonnet 4.6 | GPT-6.1 Sol |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |
Multilingual Not comparable
Claude Sonnet 4.6: 54.6 (#39), GPT-6.1 Sol: —
| Benchmark | Claude Sonnet 4.6 | GPT-6.1 Sol |
|---|---|---|
| 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), GPT-6.1 Sol: —
| Benchmark | Claude Sonnet 4.6 | GPT-6.1 Sol |
|---|---|---|
| LMArena Instruction Following | 1476 | — |
Long Context Not comparable
Claude Sonnet 4.6: 45.3 (#40), GPT-6.1 Sol: —
| Benchmark | Claude Sonnet 4.6 | GPT-6.1 Sol |
|---|---|---|
| LMArena Longer Query | 1479 | — |
Writing & Preference Not comparable
Claude Sonnet 4.6: 70.4 (#22), GPT-6.1 Sol: —
| Benchmark | Claude Sonnet 4.6 | GPT-6.1 Sol |
|---|---|---|
| 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 GPT-6.1 Sol?
Claude Sonnet 4.6 has enough public results to be ranked (#42); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Which is cheaper, Claude Sonnet 4.6 or GPT-6.1 Sol?
GPT-6.1 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-6.1 Sol better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 46.0 in the Noometry coding category.
Which has the bigger context window?
GPT-6.1 Sol does, with 1.05M tokens against 1M.
How many benchmarks do Claude Sonnet 4.6 and GPT-6.1 Sol share?
2 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and GPT-6.1 Sol has 2.