Model comparison
Claude Opus 4.5 vs GPT-4.5
Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 37.2 on the Noometry Index.
Last verified . 29 shared benchmarks.
Summary
- They share 29 benchmarks with published results for both. Claude Opus 4.5 scores higher in 9 categories and GPT-4.5 in 1 category; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Opus 4.5 leads 42.6 to 13.9.
- The biggest single-benchmark swing is ARC-AGI-1: 80% for Claude Opus 4.5 and 10.3% for GPT-4.5.
Side by side
| Claude Opus 4.5 | GPT-4.5 | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 50.5 | 37.2 |
| Released | 2025-11-01 | 2025-02-27 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | — |
| Max output | 64K | — |
| Input $ / M tokens | $5 | — |
| Output $ / M tokens | $25 | — |
| Results tracked | 69 | 42 |
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Category by category
Coding Claude Opus 4.5 leads
Claude Opus 4.5: 54.8 (#27), GPT-4.5: 42.2 (#109)
| Benchmark | Claude Opus 4.5 | GPT-4.5 |
|---|---|---|
| WeirdML | 63.7% | 39.4% |
| LMArena Coding | 1504 | 1396 |
| SWE-bench Verified | 76.7% | — |
| SWE-bench Verified (bash only) | 76.8% | — |
| Aider Polyglot | — | 44.9% |
| LMArena WebDev | 1494 | — |
| SWE-bench Multilingual | 70.7% | — |
| GSO | 26.5% | — |
| LiveBench Coding | — | 75.2% |
| ALE-Bench | 1,025 | — |
| AlgoTune | 1.77 | — |
Agentic & Tool Use Claude Opus 4.5 leads
Claude Opus 4.5: 47.3 (#12), GPT-4.5: 27.9 (#97)
| Benchmark | Claude Opus 4.5 | GPT-4.5 |
|---|---|---|
| Cybench | 82% | 17.5% |
| Terminal-Bench | 63.1% | — |
| Berkeley Function Calling Leaderboard | 77.5% | — |
| GDPval | 45.5% | — |
| Remote Labor Index | 3.8% | — |
| τ²-bench Airline | 84% | — |
| τ²-bench Banking | 24.7% | — |
| τ²-bench Retail | 79.6% | — |
| τ²-bench Telecom | 92.3% | — |
| DeepResearch Bench | 54.8% | — |
| OSWorld | 66.3% | — |
| BALROG | 43.5% | — |
| LMArena Search | 1180 | — |
| METR Time Horizons | 75% | — |
| Vending-Bench 2 | 4,967 | — |
Reasoning Claude Opus 4.5 leads
Claude Opus 4.5: 42.6 (#51), GPT-4.5: 13.9 (#330)
| Benchmark | Claude Opus 4.5 | GPT-4.5 |
|---|---|---|
| ARC-AGI-2 | 37.6% | 0.8% |
| SimpleBench | 62% | 34.5% |
| ARC-AGI-1 | 80% | 10.3% |
| EnigmaEval | 11.9% | 3.2% |
| LMArena Hard Prompts | 1476 | 1403 |
| Epoch Capabilities Index | 150.09 | 136.74 |
| ForecastBench | 60.7 | 61.7 |
| Kagi LLM Benchmark | 80.2% | — |
| NYT Connections (extended) | 52.5% | — |
| Chess Puzzles | 12% | — |
| EBR-Bench | 14.3% | — |
| LiveBench Reasoning | — | 71.1% |
| Mystery Game Puzzles | 22% | — |
| DTBench | 89.9% | — |
| LiveBench Data Analysis | — | 64.3% |
| LMCA | 44.5% | — |
| LiveBench | — | 69% |
Math Claude Opus 4.5 leads
Claude Opus 4.5: 38.6 (#132), GPT-4.5: 32.6 (#211)
| Benchmark | Claude Opus 4.5 | GPT-4.5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 86.1% | 37.8% |
| LMArena Math | 1463 | 1412 |
| FrontierMath (Tiers 1-3) | 34.4% | — |
| FrontierMath Tier 4 | 4.9% | — |
| ProofBench | 36% | — |
| LiveBench Math | — | 69.3% |
| MATH Level 5 | — | 78.6% |
| FrontierMath (Feb 2025 set) | 20.7% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Claude Opus 4.5 leads
Claude Opus 4.5: 56.5 (#44), GPT-4.5: 32.5 (#211)
| Benchmark | Claude Opus 4.5 | GPT-4.5 |
|---|---|---|
| GPQA Diamond | 86% | 68.7% |
| Humanity's Last Exam | 25.2% | 5.4% |
| LMArena Expert | 1487 | 1394 |
| SimpleQA Verified | 45.7% | — |
| Confabulations | — | 13.6% |
| Vectara Hallucination Rate | 10.9% | — |
Multimodal GPT-4.5 leads
Claude Opus 4.5: 31.4 (#107), GPT-4.5: 37.6 (#71)
| Benchmark | Claude Opus 4.5 | GPT-4.5 |
|---|---|---|
| VPCT | 40% | 45% |
| LMArena Vision | — | 1195 |
| GeoBench | 75% | — |
| Furniture Assembly | 28.3% | — |
| LMArena Document | 1462 | — |
Multilingual Claude Opus 4.5 leads
Claude Opus 4.5: 54.3 (#47), GPT-4.5: 52.5 (#83)
| Benchmark | Claude Opus 4.5 | GPT-4.5 |
|---|---|---|
| LMArena Non-English | 1438 | 1413 |
| LMArena Chinese | 1470 | 1421 |
| LMArena French | 1471 | 1418 |
| LMArena German | 1449 | 1457 |
| LMArena Japanese | 1416 | 1416 |
| LMArena Korean | 1424 | 1392 |
| LMArena Russian | 1447 | 1419 |
| LMArena Spanish | 1458 | — |
Instruction Following Claude Opus 4.5 leads
Claude Opus 4.5: 77.5 (#19), GPT-4.5: 72.6 (#134)
| Benchmark | Claude Opus 4.5 | GPT-4.5 |
|---|---|---|
| LMArena Instruction Following | 1478 | 1404 |
| LiveBench Instruction Following | — | 72.3% |
Long Context Claude Opus 4.5 leads
Claude Opus 4.5: 46.5 (#22), GPT-4.5: 40.4 (#155)
| Benchmark | Claude Opus 4.5 | GPT-4.5 |
|---|---|---|
| LMArena Longer Query | 1480 | 1406 |
| Fiction.LiveBench | — | 63.9% |
| CL-bench | 21.1% | — |
Writing & Preference Claude Opus 4.5 leads
Claude Opus 4.5: 68.1 (#28), GPT-4.5: 56.9 (#134)
| Benchmark | Claude Opus 4.5 | GPT-4.5 |
|---|---|---|
| LMArena Text | 1451 | 1417 |
| LMArena Creative Writing | 1445 | 1394 |
| EQ-Bench Creative Writing | 1687 | 1258 |
| LMArena Multi-Turn | 1466 | 1444 |
| Short-Story Creative Writing | — | 75.6% |
| LiveBench Language | — | 61.5% |
Frequently asked questions
Is Claude Opus 4.5 better than GPT-4.5?
Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 37.2 on the Noometry Index.
Is Claude Opus 4.5 or GPT-4.5 better for coding?
Claude Opus 4.5 scores higher on coding benchmarks: 54.8 versus 42.2 in the Noometry coding category.
How many benchmarks do Claude Opus 4.5 and GPT-4.5 share?
29 benchmarks have published results for both models. Claude Opus 4.5 has 69 scored results on Noometry and GPT-4.5 has 42.