Model comparison
Claude Sonnet 4 vs GPT-5.6 Sol
GPT-5.6 Sol is the stronger model overall, scoring 65.0 to 40.8 on the Noometry Index.
Last verified . 35 shared benchmarks.
Summary
- They share 35 benchmarks with published results for both. Claude Sonnet 4 scores higher in 0 categories and GPT-5.6 Sol in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.6 Sol leads 74.8 to 22.9.
- The biggest single-benchmark swing is ARC-AGI-2: 5.9% for Claude Sonnet 4 and 92.5% for GPT-5.6 Sol.
- Claude Sonnet 4 is cheaper at $3 / $15 per million input/output tokens, against $4 / $20 for GPT-5.6 Sol.
- GPT-5.6 Sol accepts more context: 1.05M tokens versus 200K.
Side by side
| Claude Sonnet 4 | GPT-5.6 Sol | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 40.8 | 65.0 |
| Released | 2025-05-22 | 2026-07-09 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 1.05M |
| Max output | 64K | 128K |
| Input $ / M tokens | $3 | $4 |
| Output $ / M tokens | $15 | $20 |
| Results tracked | 58 | 65 |
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Category by category
Coding GPT-5.6 Sol leads
Claude Sonnet 4: 43.5 (#88), GPT-5.6 Sol: 65.1 (#7)
| Benchmark | Claude Sonnet 4 | GPT-5.6 Sol |
|---|---|---|
| SciCode | 40% | 57.1% |
| GSO | 4.9% | 76.5% |
| WeirdML | 46.1% | 89.4% |
| LMArena Coding | 1414 | 1498 |
| ALE-Bench | 655.35 | 2,177 |
| DeepSWE | — | 72.7% |
| FrontierCode | — | 47.5% |
| SWE-bench Verified (bash only) | 64.9% | — |
| Aider Polyglot | 61.3% | — |
| CursorBench | — | 41.7% |
| LMArena WebDev | — | 1618 |
| FrontierSWE | — | 32.2% |
| MirrorCode | — | 20% |
Agentic & Tool Use GPT-5.6 Sol leads
Claude Sonnet 4: 38.5 (#31), GPT-5.6 Sol: 50.3 (#7)
| Benchmark | Claude Sonnet 4 | GPT-5.6 Sol |
|---|---|---|
| APEX-Agents | — | 51.4% |
| OSWorld 2.0 | — | 27.3% |
| TheAgentCompany | 33.1% | — |
| τ²-bench Banking | — | 46.9% |
| Cybench | 35% | — |
| DeepResearch Bench | 46.6% | — |
| OSWorld | 43.9% | — |
| PostTrainBench | — | 36.2% |
| BALROG | — | 60% |
| GBAEval | — | 52.6% |
| GDP.pdf | — | 30.7% |
| LMArena Search | — | 1257 |
| METR Time Horizons | 62% | — |
| Vending-Bench 2 | — | 9,619 |
Reasoning GPT-5.6 Sol leads
Claude Sonnet 4: 22.9 (#187), GPT-5.6 Sol: 74.8 (#8)
| Benchmark | Claude Sonnet 4 | GPT-5.6 Sol |
|---|---|---|
| ARC-AGI-2 | 5.9% | 92.5% |
| SimpleBench | 45.5% | 71.7% |
| Kagi LLM Benchmark | 73% | 67% |
| ARC-AGI-1 | 40% | 97.5% |
| CritPt | 0.3% | 32.3% |
| EnigmaEval | 3.1% | 37.1% |
| LMArena Hard Prompts | 1372 | 1484 |
| DTBench | 77.1% | 96% |
| LMCA | 29% | 59.2% |
| Epoch Capabilities Index | 141.69 | 161.66 |
| NYT Connections (extended) | — | 93.8% |
| Chess Puzzles | — | 64% |
| EBR-Bench | — | 44.8% |
| Mystery Game Puzzles | — | 58% |
| Surface Evolver Bench | — | 93.1% |
| Bench to the Future 3 | — | 0.14 |
| ForecastBench | 60.2 | — |
Math GPT-5.6 Sol leads
Claude Sonnet 4: 43.3 (#80), GPT-5.6 Sol: 85.6 (#9)
| Benchmark | Claude Sonnet 4 | GPT-5.6 Sol |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 71.1% | 100% |
| LMArena Math | 1375 | 1474 |
| FrontierMath (Tiers 1-3) | — | 89.1% |
| FrontierMath Tier 4 | — | 82.9% |
| ProofBench | — | 83% |
| Omni-MATH | 60.2% | — |
| MATH Level 5 | 84.4% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
| FrontierMath Erdős | — | 0% |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge GPT-5.6 Sol leads
Claude Sonnet 4: 41.8 (#108), GPT-5.6 Sol: 64.3 (#18)
| Benchmark | Claude Sonnet 4 | GPT-5.6 Sol |
|---|---|---|
| GPQA Diamond | 79.2% | 93.5% |
| Vectara Hallucination Rate | 10.3% | 12.4% |
| LMArena Expert | 1372 | 1516 |
| Humanity's Last Exam | 7.8% | — |
| SimpleQA Verified | — | 69.7% |
| MMLU-Pro | 84.3% | — |
| Confabulations | 13.2% | — |
| GPQA (HELM) | 70.6% | — |
Multimodal GPT-5.6 Sol leads
Claude Sonnet 4: 26.2 (#121), GPT-5.6 Sol: 48.6 (#9)
| Benchmark | Claude Sonnet 4 | GPT-5.6 Sol |
|---|---|---|
| LMArena Vision | 1191 | 1281 |
| GeoBench | 37% | — |
| VPCT | 34% | — |
| Blueprint-Bench 2 | — | 33.6% |
| Furniture Assembly | — | 56.7% |
| LMArena Document | — | 1483 |
| MindCube | 44.8% | — |
Multilingual GPT-5.6 Sol leads
Claude Sonnet 4: 46.7 (#156), GPT-5.6 Sol: 55.3 (#32)
| Benchmark | Claude Sonnet 4 | GPT-5.6 Sol |
|---|---|---|
| LMArena Non-English | 1333 | 1452 |
| LMArena Chinese | 1350 | 1527 |
| LMArena French | 1363 | 1477 |
| LMArena German | 1331 | 1476 |
| LMArena Japanese | 1302 | 1471 |
| LMArena Korean | 1291 | 1442 |
| LMArena Russian | 1355 | 1468 |
| LMArena Spanish | 1357 | 1441 |
Instruction Following GPT-5.6 Sol leads
Claude Sonnet 4: 71.7 (#145), GPT-5.6 Sol: 77.7 (#16)
| Benchmark | Claude Sonnet 4 | GPT-5.6 Sol |
|---|---|---|
| LMArena Instruction Following | 1376 | 1482 |
| IFEval | 84% | — |
Long Context GPT-5.6 Sol leads
Claude Sonnet 4: 33.7 (#259), GPT-5.6 Sol: 45.4 (#42)
| Benchmark | Claude Sonnet 4 | GPT-5.6 Sol |
|---|---|---|
| LMArena Longer Query | 1398 | 1480 |
| Fiction.LiveBench | 46.9% | — |
Writing & Preference GPT-5.6 Sol leads
Claude Sonnet 4: 57.1 (#132), GPT-5.6 Sol: 73.3 (#12)
| Benchmark | Claude Sonnet 4 | GPT-5.6 Sol |
|---|---|---|
| LMArena Text | 1351 | 1457 |
| LMArena Creative Writing | 1345 | 1448 |
| EQ-Bench Creative Writing | 1483 | 1972 |
| LMArena Multi-Turn | 1376 | 1460 |
| Short-Story Creative Writing | 81.4% | — |
| WildBench | 83.8% | — |
| EQ-Bench 4 | — | 1250 |
Frequently asked questions
Is Claude Sonnet 4 better than GPT-5.6 Sol?
GPT-5.6 Sol is the stronger model overall, scoring 65.0 to 40.8 on the Noometry Index.
Which is cheaper, Claude Sonnet 4 or GPT-5.6 Sol?
Claude Sonnet 4 is cheaper. It lists at $3 per million input tokens and $15 per million output tokens; GPT-5.6 Sol lists at $4 and $20.
Is Claude Sonnet 4 or GPT-5.6 Sol better for coding?
GPT-5.6 Sol scores higher on coding benchmarks: 65.1 versus 43.5 in the Noometry coding category.
Which has the bigger context window?
GPT-5.6 Sol does, with 1.05M tokens against 200K.
How many benchmarks do Claude Sonnet 4 and GPT-5.6 Sol share?
35 benchmarks have published results for both models. Claude Sonnet 4 has 58 scored results on Noometry and GPT-5.6 Sol has 65.