Model comparison
Claude 3 Opus vs GPT-5
GPT-5 is the stronger model overall, scoring 50.9 to 29.5 on the Noometry Index.
Last verified . 32 shared benchmarks.
Summary
- They share 32 benchmarks with published results for both. Claude 3 Opus scores higher in 0 categories and GPT-5 in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5 leads 55.0 to 14.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.7% for Claude 3 Opus and 91.4% for GPT-5.
Side by side
| Claude 3 Opus | GPT-5 | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 29.5 | 50.9 |
| Released | 2024-02-29 | 2025-08-07 |
| Weights | Proprietary | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $10 |
| Results tracked | 46 | 69 |
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Category by category
Coding GPT-5 leads
Claude 3 Opus: 32.9 (#267), GPT-5: 50.3 (#47)
| Benchmark | Claude 3 Opus | GPT-5 |
|---|---|---|
| WeirdML | 19.2% | 60.7% |
| LMArena Coding | 1264 | 1436 |
| SWE-bench Verified | — | 73.6% |
| SWE-bench Verified (bash only) | — | 65% |
| Aider Polyglot | — | 88% |
| LMArena WebDev | — | 1418 |
| SciCode | — | 42.9% |
| GSO | — | 6.9% |
| BigCodeBench Instruct | 45.5% | — |
| LiveBench Coding | 38.6% | — |
| BigCodeBench Complete | 57.4% | — |
| ALE-Bench | — | 1,162 |
| AlgoTune | — | 1.67 |
| HumanEval+ | 77.4% | — |
| MBPP+ | 73.3% | — |
Agentic & Tool Use GPT-5 leads
Claude 3 Opus: 24.6 (#116), GPT-5: 33.1 (#56)
| Benchmark | Claude 3 Opus | GPT-5 |
|---|---|---|
| METR Time Horizons | 29.5% | 69.6% |
| Terminal-Bench | — | 49.6% |
| GDPval | — | 34.8% |
| Remote Labor Index | — | 1.7% |
| Cybench | 10% | — |
| DeepResearch Bench | — | 49.6% |
| BALROG | — | 32.8% |
| LMArena Search | — | 1133 |
Reasoning GPT-5 leads
Claude 3 Opus: 14.6 (#324), GPT-5: 38.3 (#64)
| Benchmark | Claude 3 Opus | GPT-5 |
|---|---|---|
| SimpleBench | 23.5% | 56.7% |
| Chess Puzzles | 5% | 37% |
| EnigmaEval | 0.8% | 10.5% |
| LMArena Hard Prompts | 1245 | 1416 |
| DTBench | 61.6% | 90.7% |
| LMCA | 17% | 40% |
| Epoch Capabilities Index | 126.91 | 150 |
| ForecastBench | 58.4 | 61.4 |
| ARC-AGI-2 | — | 9.9% |
| Kagi LLM Benchmark | — | 72.7% |
| ARC-AGI-1 | — | 65.7% |
| CritPt | — | 12.6% |
| EBR-Bench | — | 12.7% |
| LiveBench Reasoning | 40.6% | — |
| Mystery Game Puzzles | — | 23% |
| LiveBench Data Analysis | 57.9% | — |
| LiveBench | 49.2% | — |
| WinoGrande | 88.5% | — |
Math GPT-5 leads
Claude 3 Opus: 14.8 (#299), GPT-5: 55.0 (#44)
| Benchmark | Claude 3 Opus | GPT-5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.7% | 91.4% |
| LMArena Math | 1273 | 1407 |
| MATH Level 5 | 37.5% | 98.1% |
| FrontierMath (Tiers 1-3) | — | 55.4% |
| FrontierMath Tier 4 | — | 22% |
| ProofBench | — | 18% |
| Omni-MATH | — | 64.7% |
| LiveBench Math | 43.6% | — |
| FrontierMath (Feb 2025 set) | — | 32.4% |
| FrontierMath Tier 4 (v1) | — | 12.5% |
Knowledge GPT-5 leads
Claude 3 Opus: 24.5 (#267), GPT-5: 56.6 (#43)
| Benchmark | Claude 3 Opus | GPT-5 |
|---|---|---|
| GPQA Diamond | 47.2% | 86.2% |
| SimpleQA Verified | 12.6% | 50.1% |
| Confabulations | 22.7% | 10.3% |
| LMArena Expert | 1223 | 1419 |
| Humanity's Last Exam | — | 25.3% |
| MMLU-Pro | — | 86.3% |
| Vectara Hallucination Rate | — | 14.7% |
| GPQA (HELM) | — | 79.2% |
| MMLU | 84.6% | — |
Multimodal GPT-5 leads
Claude 3 Opus: 27.1 (#116), GPT-5: 46.8 (#13)
| Benchmark | Claude 3 Opus | GPT-5 |
|---|---|---|
| LMArena Vision | 1023 | 1232 |
| GeoBench | — | 81% |
| VPCT | — | 66% |
Multilingual GPT-5 leads
Claude 3 Opus: 41.4 (#207), GPT-5: 51.4 (#110)
| Benchmark | Claude 3 Opus | GPT-5 |
|---|---|---|
| LMArena Non-English | 1258 | 1397 |
| LMArena Chinese | 1248 | 1422 |
| LMArena French | 1275 | 1410 |
| LMArena German | 1258 | 1416 |
| LMArena Japanese | 1204 | 1409 |
| LMArena Korean | 1187 | 1360 |
| LMArena Russian | 1280 | 1406 |
| LMArena Spanish | 1246 | 1399 |
Instruction Following GPT-5 leads
Claude 3 Opus: 64.1 (#228), GPT-5: 73.8 (#113)
| Benchmark | Claude 3 Opus | GPT-5 |
|---|---|---|
| LMArena Instruction Following | 1248 | 1388 |
| LiveBench Instruction Following | 63.9% | — |
| IFEval | — | 87.5% |
Long Context GPT-5 leads
Claude 3 Opus: 38.2 (#202), GPT-5: 69.5 (#2)
| Benchmark | Claude 3 Opus | GPT-5 |
|---|---|---|
| LMArena Longer Query | 1259 | 1399 |
| Fiction.LiveBench | — | 97.2% |
Writing & Preference GPT-5 leads
Claude 3 Opus: 47.2 (#213), GPT-5: 63.4 (#65)
| Benchmark | Claude 3 Opus | GPT-5 |
|---|---|---|
| LMArena Text | 1262 | 1406 |
| LMArena Creative Writing | 1235 | 1365 |
| LMArena Multi-Turn | 1275 | 1426 |
| Short-Story Creative Writing | — | 86% |
| EQ-Bench Creative Writing | — | 1627 |
| WildBench | — | 85.7% |
| LiveBench Language | 50.4% | — |
Frequently asked questions
Is Claude 3 Opus better than GPT-5?
GPT-5 is the stronger model overall, scoring 50.9 to 29.5 on the Noometry Index.
Is Claude 3 Opus or GPT-5 better for coding?
GPT-5 scores higher on coding benchmarks: 50.3 versus 32.9 in the Noometry coding category.
How many benchmarks do Claude 3 Opus and GPT-5 share?
32 benchmarks have published results for both models. Claude 3 Opus has 46 scored results on Noometry and GPT-5 has 69.