Model comparison
Claude Sonnet 4.5 vs GPT-4.5
Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 37.2 on the Noometry Index.
Last verified . 30 shared benchmarks.
Summary
- They share 30 benchmarks with published results for both. Claude Sonnet 4.5 scores higher in 8 categories and GPT-4.5 in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude Sonnet 4.5 leads 48.4 to 32.5.
- The biggest single-benchmark swing is ARC-AGI-1: 63.7% for Claude Sonnet 4.5 and 10.3% for GPT-4.5.
Side by side
| Claude Sonnet 4.5 | GPT-4.5 | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 44.1 | 37.2 |
| Released | 2025-09-29 | 2025-02-27 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | — |
| Max output | 64K | — |
| Input $ / M tokens | $3 | — |
| Output $ / M tokens | $15 | — |
| Results tracked | 73 | 42 |
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Category by category
Coding Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 47.3 (#61), GPT-4.5: 42.2 (#109)
| Benchmark | Claude Sonnet 4.5 | GPT-4.5 |
|---|---|---|
| WeirdML | 47.7% | 39.4% |
| LMArena Coding | 1489 | 1396 |
| SWE-bench Verified | 71.3% | — |
| SWE-bench Verified (bash only) | 71.4% | — |
| Aider Polyglot | — | 44.9% |
| LMArena WebDev | 1393 | — |
| SWE-bench Multilingual | 67% | — |
| SciCode | 44.7% | — |
| GSO | 14.7% | — |
| LiveBench Coding | — | 75.2% |
| ALE-Bench | 796.15 | — |
| AlgoTune | 1.52 | — |
Agentic & Tool Use Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 38.3 (#32), GPT-4.5: 27.9 (#97)
| Benchmark | Claude Sonnet 4.5 | GPT-4.5 |
|---|---|---|
| Cybench | 60% | 17.5% |
| Terminal-Bench | 46.5% | — |
| Berkeley Function Calling Leaderboard | 73.2% | — |
| GDPval | 42.5% | — |
| Remote Labor Index | 2.1% | — |
| τ²-bench Airline | 72% | — |
| τ²-bench Banking | 25.3% | — |
| τ²-bench Retail | 72.4% | — |
| τ²-bench Telecom | 84.9% | — |
| DeepResearch Bench | 52.6% | — |
| OSWorld | 62.9% | — |
| LMArena Search | 1159 | — |
| METR Time Horizons | 67.4% | — |
| Vending-Bench 2 | 3,839 | — |
Reasoning Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 26.9 (#125), GPT-4.5: 13.9 (#330)
| Benchmark | Claude Sonnet 4.5 | GPT-4.5 |
|---|---|---|
| ARC-AGI-2 | 13.6% | 0.8% |
| SimpleBench | 54.3% | 34.5% |
| ARC-AGI-1 | 63.7% | 10.3% |
| EnigmaEval | 6% | 3.2% |
| LMArena Hard Prompts | 1462 | 1403 |
| Epoch Capabilities Index | 146.84 | 136.74 |
| ForecastBench | 61.9 | 61.7 |
| Kagi LLM Benchmark | 57.9% | — |
| NYT Connections (extended) | 37.3% | — |
| CritPt | 1.1% | — |
| Chess Puzzles | 12% | — |
| EBR-Bench | 2.4% | — |
| LiveBench Reasoning | — | 71.1% |
| Mystery Game Puzzles | 17% | — |
| DTBench | 83.2% | — |
| LiveBench Data Analysis | — | 64.3% |
| LMCA | 38.8% | — |
| LiveBench | — | 69% |
Math Too close to call
Claude Sonnet 4.5: 32.3 (#216), GPT-4.5: 32.6 (#211)
| Benchmark | Claude Sonnet 4.5 | GPT-4.5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 77.8% | 37.8% |
| LMArena Math | 1449 | 1412 |
| MATH Level 5 | 97.7% | 78.6% |
| FrontierMath (Tiers 1-3) | 23.9% | — |
| FrontierMath Tier 4 | 2.4% | — |
| ProofBench | 19% | — |
| Omni-MATH | 55.3% | — |
| LiveBench Math | — | 69.3% |
| FrontierMath (Feb 2025 set) | 15.2% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 48.4 (#76), GPT-4.5: 32.5 (#211)
| Benchmark | Claude Sonnet 4.5 | GPT-4.5 |
|---|---|---|
| GPQA Diamond | 82.3% | 68.7% |
| Humanity's Last Exam | 13.7% | 5.4% |
| LMArena Expert | 1482 | 1394 |
| SimpleQA Verified | 30.7% | — |
| MMLU-Pro | 86.9% | — |
| Confabulations | — | 13.6% |
| Vectara Hallucination Rate | 12% | — |
| GPQA (HELM) | 68.6% | — |
Multimodal GPT-4.5 leads
Claude Sonnet 4.5: 34.8 (#89), GPT-4.5: 37.6 (#71)
| Benchmark | Claude Sonnet 4.5 | GPT-4.5 |
|---|---|---|
| VPCT | 39.8% | 45% |
| LMArena Vision | — | 1195 |
| LMArena Document | 1450 | — |
Multilingual Too close to call
Claude Sonnet 4.5: 53.4 (#69), GPT-4.5: 52.5 (#83)
| Benchmark | Claude Sonnet 4.5 | GPT-4.5 |
|---|---|---|
| LMArena Non-English | 1425 | 1413 |
| LMArena Chinese | 1459 | 1421 |
| LMArena French | 1458 | 1418 |
| LMArena German | 1427 | 1457 |
| LMArena Japanese | 1390 | 1416 |
| LMArena Korean | 1403 | 1392 |
| LMArena Russian | 1437 | 1419 |
| LMArena Spanish | 1457 | — |
Instruction Following Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 75.0 (#78), GPT-4.5: 72.6 (#134)
| Benchmark | Claude Sonnet 4.5 | GPT-4.5 |
|---|---|---|
| LMArena Instruction Following | 1459 | 1404 |
| LiveBench Instruction Following | — | 72.3% |
| IFEval | 85% | — |
Long Context Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 45.2 (#46), GPT-4.5: 40.4 (#155)
| Benchmark | Claude Sonnet 4.5 | GPT-4.5 |
|---|---|---|
| LMArena Longer Query | 1476 | 1406 |
| Fiction.LiveBench | — | 63.9% |
Writing & Preference Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 66.5 (#34), GPT-4.5: 56.9 (#134)
| Benchmark | Claude Sonnet 4.5 | GPT-4.5 |
|---|---|---|
| LMArena Text | 1439 | 1417 |
| LMArena Creative Writing | 1442 | 1394 |
| EQ-Bench Creative Writing | 1678 | 1258 |
| LMArena Multi-Turn | 1465 | 1444 |
| Short-Story Creative Writing | — | 75.6% |
| WildBench | 85.4% | — |
| LiveBench Language | — | 61.5% |
Frequently asked questions
Is Claude Sonnet 4.5 better than GPT-4.5?
Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 37.2 on the Noometry Index.
Is Claude Sonnet 4.5 or GPT-4.5 better for coding?
Claude Sonnet 4.5 scores higher on coding benchmarks: 47.3 versus 42.2 in the Noometry coding category.
How many benchmarks do Claude Sonnet 4.5 and GPT-4.5 share?
30 benchmarks have published results for both models. Claude Sonnet 4.5 has 73 scored results on Noometry and GPT-4.5 has 42.