Model comparison
Claude Opus 4.5 vs GPT-5
Claude Opus 4.5 and GPT-5 score almost the same on the Noometry Index (50.5 vs 50.9), so choose on price, context window or the category you care about most.
Last verified . 56 shared benchmarks.
Summary
- They share 56 benchmarks with published results for both. Claude Opus 4.5 scores higher in 6 categories and GPT-5 in 4 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in long context, where GPT-5 leads 69.5 to 46.5.
- The biggest single-benchmark swing is ARC-AGI-2: 37.6% for Claude Opus 4.5 and 9.9% for GPT-5.
- GPT-5 is cheaper at $1.25 / $10 per million input/output tokens, against $5 / $25 for Claude Opus 4.5.
- GPT-5 accepts more context: 400K tokens versus 200K.
Side by side
| Claude Opus 4.5 | GPT-5 | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 50.5 | 50.9 |
| Released | 2025-11-01 | 2025-08-07 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 400K |
| Max output | 64K | 128K |
| Input $ / M tokens | $5 | $1.25 |
| Output $ / M tokens | $25 | $10 |
| Results tracked | 69 | 69 |
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Category by category
Coding Claude Opus 4.5 leads
Claude Opus 4.5: 54.8 (#27), GPT-5: 50.3 (#47)
| Benchmark | Claude Opus 4.5 | GPT-5 |
|---|---|---|
| SWE-bench Verified | 76.7% | 73.6% |
| SWE-bench Verified (bash only) | 76.8% | 65% |
| LMArena WebDev | 1494 | 1418 |
| GSO | 26.5% | 6.9% |
| WeirdML | 63.7% | 60.7% |
| LMArena Coding | 1504 | 1436 |
| ALE-Bench | 1,025 | 1,162 |
| AlgoTune | 1.77 | 1.67 |
| Aider Polyglot | — | 88% |
| SWE-bench Multilingual | 70.7% | — |
| SciCode | — | 42.9% |
Agentic & Tool Use Claude Opus 4.5 leads
Claude Opus 4.5: 47.3 (#12), GPT-5: 33.1 (#56)
| Benchmark | Claude Opus 4.5 | GPT-5 |
|---|---|---|
| Terminal-Bench | 63.1% | 49.6% |
| GDPval | 45.5% | 34.8% |
| Remote Labor Index | 3.8% | 1.7% |
| DeepResearch Bench | 54.8% | 49.6% |
| BALROG | 43.5% | 32.8% |
| LMArena Search | 1180 | 1133 |
| METR Time Horizons | 75% | 69.6% |
| Berkeley Function Calling Leaderboard | 77.5% | — |
| τ²-bench Airline | 84% | — |
| τ²-bench Banking | 24.7% | — |
| τ²-bench Retail | 79.6% | — |
| τ²-bench Telecom | 92.3% | — |
| Cybench | 82% | — |
| OSWorld | 66.3% | — |
| Vending-Bench 2 | 4,967 | — |
Reasoning Claude Opus 4.5 leads
Claude Opus 4.5: 42.6 (#51), GPT-5: 38.3 (#64)
| Benchmark | Claude Opus 4.5 | GPT-5 |
|---|---|---|
| ARC-AGI-2 | 37.6% | 9.9% |
| SimpleBench | 62% | 56.7% |
| Kagi LLM Benchmark | 80.2% | 72.7% |
| ARC-AGI-1 | 80% | 65.7% |
| Chess Puzzles | 12% | 37% |
| EnigmaEval | 11.9% | 10.5% |
| EBR-Bench | 14.3% | 12.7% |
| LMArena Hard Prompts | 1476 | 1416 |
| Mystery Game Puzzles | 22% | 23% |
| DTBench | 89.9% | 90.7% |
| LMCA | 44.5% | 40% |
| Epoch Capabilities Index | 150.09 | 150 |
| ForecastBench | 60.7 | 61.4 |
| NYT Connections (extended) | 52.5% | — |
| CritPt | — | 12.6% |
Math GPT-5 leads
Claude Opus 4.5: 38.6 (#132), GPT-5: 55.0 (#44)
| Benchmark | Claude Opus 4.5 | GPT-5 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 34.4% | 55.4% |
| FrontierMath Tier 4 | 4.9% | 22% |
| OTIS Mock AIME 2024-2025 | 86.1% | 91.4% |
| ProofBench | 36% | 18% |
| LMArena Math | 1463 | 1407 |
| FrontierMath (Feb 2025 set) | 20.7% | 32.4% |
| FrontierMath Tier 4 (v1) | 4.2% | 12.5% |
| Omni-MATH | — | 64.7% |
| MATH Level 5 | — | 98.1% |
Knowledge Too close to call
Claude Opus 4.5: 56.5 (#44), GPT-5: 56.6 (#43)
| Benchmark | Claude Opus 4.5 | GPT-5 |
|---|---|---|
| GPQA Diamond | 86% | 86.2% |
| Humanity's Last Exam | 25.2% | 25.3% |
| SimpleQA Verified | 45.7% | 50.1% |
| Vectara Hallucination Rate | 10.9% | 14.7% |
| LMArena Expert | 1487 | 1419 |
| MMLU-Pro | — | 86.3% |
| Confabulations | — | 10.3% |
| GPQA (HELM) | — | 79.2% |
Multimodal GPT-5 leads
Claude Opus 4.5: 31.4 (#107), GPT-5: 46.8 (#13)
| Benchmark | Claude Opus 4.5 | GPT-5 |
|---|---|---|
| GeoBench | 75% | 81% |
| VPCT | 40% | 66% |
| LMArena Vision | — | 1232 |
| Furniture Assembly | 28.3% | — |
| LMArena Document | 1462 | — |
Multilingual Claude Opus 4.5 leads
Claude Opus 4.5: 54.3 (#47), GPT-5: 51.4 (#110)
| Benchmark | Claude Opus 4.5 | GPT-5 |
|---|---|---|
| LMArena Non-English | 1438 | 1397 |
| LMArena Chinese | 1470 | 1422 |
| LMArena French | 1471 | 1410 |
| LMArena German | 1449 | 1416 |
| LMArena Japanese | 1416 | 1409 |
| LMArena Korean | 1424 | 1360 |
| LMArena Russian | 1447 | 1406 |
| LMArena Spanish | 1458 | 1399 |
Instruction Following Claude Opus 4.5 leads
Claude Opus 4.5: 77.5 (#19), GPT-5: 73.8 (#113)
| Benchmark | Claude Opus 4.5 | GPT-5 |
|---|---|---|
| LMArena Instruction Following | 1478 | 1388 |
| IFEval | — | 87.5% |
Long Context GPT-5 leads
Claude Opus 4.5: 46.5 (#22), GPT-5: 69.5 (#2)
| Benchmark | Claude Opus 4.5 | GPT-5 |
|---|---|---|
| LMArena Longer Query | 1480 | 1399 |
| Fiction.LiveBench | — | 97.2% |
| CL-bench | 21.1% | — |
Writing & Preference Claude Opus 4.5 leads
Claude Opus 4.5: 68.1 (#28), GPT-5: 63.4 (#65)
| Benchmark | Claude Opus 4.5 | GPT-5 |
|---|---|---|
| LMArena Text | 1451 | 1406 |
| LMArena Creative Writing | 1445 | 1365 |
| EQ-Bench Creative Writing | 1687 | 1627 |
| LMArena Multi-Turn | 1466 | 1426 |
| Short-Story Creative Writing | — | 86% |
| WildBench | — | 85.7% |
Frequently asked questions
Is Claude Opus 4.5 better than GPT-5?
Claude Opus 4.5 and GPT-5 score almost the same on the Noometry Index (50.5 vs 50.9), so choose on price, context window or the category you care about most.
Which is cheaper, Claude Opus 4.5 or GPT-5?
GPT-5 is cheaper. It lists at $1.25 per million input tokens and $10 per million output tokens; Claude Opus 4.5 lists at $5 and $25.
Is Claude Opus 4.5 or GPT-5 better for coding?
Claude Opus 4.5 scores higher on coding benchmarks: 54.8 versus 50.3 in the Noometry coding category.
Which has the bigger context window?
GPT-5 does, with 400K tokens against 200K.
How many benchmarks do Claude Opus 4.5 and GPT-5 share?
56 benchmarks have published results for both models. Claude Opus 4.5 has 69 scored results on Noometry and GPT-5 has 69.