Model comparison
Claude Sonnet 4.5 vs GPT-5.5
GPT-5.5 is the stronger model overall, scoring 63.4 to 44.1 on the Noometry Index. Claude Sonnet 4.5 costs 1.9× less per token, which makes it the better buy when GPT-5.5's lead doesn't matter for your workload.
Last verified . 53 shared benchmarks.
Summary
- They share 53 benchmarks with published results for both. Claude Sonnet 4.5 scores higher in 0 categories and GPT-5.5 in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.5 leads 81.7 to 32.3.
- The biggest single-benchmark swing is ARC-AGI-2: 13.6% for Claude Sonnet 4.5 and 85% for GPT-5.5.
- Claude Sonnet 4.5 is cheaper at $3 / $15 per million input/output tokens, against $5 / $30 for GPT-5.5.
- GPT-5.5 accepts more context: 1.05M tokens versus 200K.
Side by side
| Claude Sonnet 4.5 | GPT-5.5 | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 44.1 | 63.4 |
| Released | 2025-09-29 | 2026-04-23 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 1.05M |
| Max output | 64K | 128K |
| Input $ / M tokens | $3 | $5 |
| Output $ / M tokens | $15 | $30 |
| Results tracked | 73 | 71 |
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Category by category
Coding GPT-5.5 leads
Claude Sonnet 4.5: 47.3 (#61), GPT-5.5: 58.2 (#17)
| Benchmark | Claude Sonnet 4.5 | GPT-5.5 |
|---|---|---|
| SWE-bench Verified | 71.3% | 80.6% |
| LMArena WebDev | 1393 | 1513 |
| SciCode | 44.7% | 56.1% |
| GSO | 14.7% | 40.2% |
| WeirdML | 47.7% | 84.9% |
| LMArena Coding | 1489 | 1494 |
| ALE-Bench | 796.15 | 1,943 |
| DeepSWE | — | 67% |
| FrontierCode | — | 43% |
| SWE-bench Verified (bash only) | 71.4% | — |
| SWE-bench Multilingual | 67% | — |
| MirrorCode | — | 10% |
| AlgoTune | 1.52 | — |
Agentic & Tool Use GPT-5.5 leads
Claude Sonnet 4.5: 38.3 (#32), GPT-5.5: 50.7 (#6)
| Benchmark | Claude Sonnet 4.5 | GPT-5.5 |
|---|---|---|
| Terminal-Bench | 46.5% | 84.7% |
| Remote Labor Index | 2.1% | 6.3% |
| τ²-bench Banking | 25.3% | 44.6% |
| DeepResearch Bench | 52.6% | 54% |
| LMArena Search | 1159 | 1242 |
| Vending-Bench 2 | 3,839 | 7,524 |
| APEX-Agents | — | 55.1% |
| Berkeley Function Calling Leaderboard | 73.2% | — |
| OSWorld 2.0 | — | 13% |
| GDPval | 42.5% | — |
| τ²-bench Airline | 72% | — |
| τ²-bench Retail | 72.4% | — |
| τ²-bench Telecom | 84.9% | — |
| Cybench | 60% | — |
| OSWorld | 62.9% | — |
| PostTrainBench | — | 27.2% |
| ExploitBench | — | 47.4% |
| GBAEval | — | 53.2% |
| GDP.pdf | — | 26% |
| METR Time Horizons | 67.4% | — |
Reasoning GPT-5.5 leads
Claude Sonnet 4.5: 26.9 (#125), GPT-5.5: 72.8 (#11)
| Benchmark | Claude Sonnet 4.5 | GPT-5.5 |
|---|---|---|
| ARC-AGI-2 | 13.6% | 85% |
| SimpleBench | 54.3% | 69% |
| Kagi LLM Benchmark | 57.9% | 88.8% |
| NYT Connections (extended) | 37.3% | 96.2% |
| ARC-AGI-1 | 63.7% | 95% |
| CritPt | 1.1% | 27.1% |
| Chess Puzzles | 12% | 54% |
| EBR-Bench | 2.4% | 34.3% |
| LMArena Hard Prompts | 1462 | 1489 |
| Mystery Game Puzzles | 17% | 56% |
| DTBench | 83.2% | 96% |
| LMCA | 38.8% | 54.3% |
| Epoch Capabilities Index | 146.84 | 159.1 |
| ForecastBench | 61.9 | 60.6 |
| EnigmaEval | 6% | — |
| Surface Evolver Bench | — | 88.1% |
| Bench to the Future 3 | — | 0.14 |
Math GPT-5.5 leads
Claude Sonnet 4.5: 32.3 (#216), GPT-5.5: 81.7 (#11)
| Benchmark | Claude Sonnet 4.5 | GPT-5.5 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 23.9% | 85.3% |
| FrontierMath Tier 4 | 2.4% | 72.5% |
| OTIS Mock AIME 2024-2025 | 77.8% | 100% |
| ProofBench | 19% | 50% |
| LMArena Math | 1449 | 1486 |
| FrontierMath (Feb 2025 set) | 15.2% | 51.7% |
| FrontierMath Tier 4 (v1) | 4.2% | 35.4% |
| MathArena Final-Answer Competitions | — | 94.3% |
| Omni-MATH | 55.3% | — |
| MATH Level 5 | 97.7% | — |
| FrontierMath Erdős | — | 0% |
Knowledge GPT-5.5 leads
Claude Sonnet 4.5: 48.4 (#76), GPT-5.5: 64.4 (#17)
| Benchmark | Claude Sonnet 4.5 | GPT-5.5 |
|---|---|---|
| GPQA Diamond | 82.3% | 94% |
| SimpleQA Verified | 30.7% | 63% |
| Vectara Hallucination Rate | 12% | 9.3% |
| LMArena Expert | 1482 | 1508 |
| Humanity's Last Exam | 13.7% | — |
| MMLU-Pro | 86.9% | — |
| GPQA (HELM) | 68.6% | — |
Multimodal GPT-5.5 leads
Claude Sonnet 4.5: 34.8 (#89), GPT-5.5: 46.9 (#12)
| Benchmark | Claude Sonnet 4.5 | GPT-5.5 |
|---|---|---|
| LMArena Document | 1450 | 1486 |
| LMArena Vision | — | 1297 |
| VPCT | 39.8% | — |
| Blueprint-Bench 2 | — | 36.2% |
| Furniture Assembly | — | 44.2% |
Multilingual GPT-5.5 leads
Claude Sonnet 4.5: 53.4 (#69), GPT-5.5: 56.4 (#20)
| Benchmark | Claude Sonnet 4.5 | GPT-5.5 |
|---|---|---|
| LMArena Non-English | 1425 | 1467 |
| LMArena Chinese | 1459 | 1533 |
| LMArena French | 1458 | 1486 |
| LMArena German | 1427 | 1480 |
| LMArena Japanese | 1390 | 1498 |
| LMArena Korean | 1403 | 1460 |
| LMArena Russian | 1437 | 1473 |
| LMArena Spanish | 1457 | 1468 |
Instruction Following GPT-5.5 leads
Claude Sonnet 4.5: 75.0 (#78), GPT-5.5: 77.5 (#18)
| Benchmark | Claude Sonnet 4.5 | GPT-5.5 |
|---|---|---|
| LMArena Instruction Following | 1459 | 1479 |
| IFEval | 85% | — |
Long Context GPT-5.5 leads
Claude Sonnet 4.5: 45.2 (#46), GPT-5.5: 48.3 (#12)
| Benchmark | Claude Sonnet 4.5 | GPT-5.5 |
|---|---|---|
| LMArena Longer Query | 1476 | 1484 |
| CL-bench Life | — | 22.2% |
Writing & Preference GPT-5.5 leads
Claude Sonnet 4.5: 66.5 (#34), GPT-5.5: 72.7 (#13)
| Benchmark | Claude Sonnet 4.5 | GPT-5.5 |
|---|---|---|
| LMArena Text | 1439 | 1472 |
| LMArena Creative Writing | 1442 | 1455 |
| EQ-Bench Creative Writing | 1678 | 1844 |
| LMArena Multi-Turn | 1465 | 1476 |
| WildBench | 85.4% | — |
| EQ-Bench 4 | — | 1315 |
Frequently asked questions
Is Claude Sonnet 4.5 better than GPT-5.5?
GPT-5.5 is the stronger model overall, scoring 63.4 to 44.1 on the Noometry Index. Claude Sonnet 4.5 costs 1.9× less per token, which makes it the better buy when GPT-5.5's lead doesn't matter for your workload.
Which is cheaper, Claude Sonnet 4.5 or GPT-5.5?
Claude Sonnet 4.5 is cheaper. It lists at $3 per million input tokens and $15 per million output tokens; GPT-5.5 lists at $5 and $30.
Is Claude Sonnet 4.5 or GPT-5.5 better for coding?
GPT-5.5 scores higher on coding benchmarks: 58.2 versus 47.3 in the Noometry coding category.
Which has the bigger context window?
GPT-5.5 does, with 1.05M tokens against 200K.
How many benchmarks do Claude Sonnet 4.5 and GPT-5.5 share?
53 benchmarks have published results for both models. Claude Sonnet 4.5 has 73 scored results on Noometry and GPT-5.5 has 71.