Model comparison
Claude 3.5 Sonnet vs GPT-5
GPT-5 is the stronger model overall, scoring 50.9 to 34.6 on the Noometry Index.
Last verified . 44 shared benchmarks.
Summary
- They share 44 benchmarks with published results for both. Claude 3.5 Sonnet scores higher in 0 categories and GPT-5 in 10 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5 leads 55.0 to 19.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 8.5% for Claude 3.5 Sonnet and 91.4% for GPT-5.
Side by side
| Claude 3.5 Sonnet | GPT-5 | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 34.6 | 50.9 |
| Released | 2024-06-20 | 2025-08-07 |
| Weights | Proprietary | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $10 |
| Results tracked | 60 | 69 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5 leads
Claude 3.5 Sonnet: 39.0 (#165), GPT-5: 50.3 (#47)
| Benchmark | Claude 3.5 Sonnet | GPT-5 |
|---|---|---|
| Aider Polyglot | 51.6% | 88% |
| GSO | 4.6% | 6.9% |
| WeirdML | 40% | 60.7% |
| LMArena Coding | 1342 | 1436 |
| SWE-bench Verified | — | 73.6% |
| SWE-bench Verified (bash only) | — | 65% |
| LMArena WebDev | — | 1418 |
| SciCode | — | 42.9% |
| BigCodeBench Instruct | 46.8% | — |
| LiveBench Coding | 67.1% | — |
| BigCodeBench Complete | 58.6% | — |
| CadEval | 48% | — |
| ALE-Bench | — | 1,162 |
| AlgoTune | — | 1.67 |
| HumanEval+ | 81.7% | — |
| MBPP+ | 74.3% | — |
Agentic & Tool Use Too close to call
Claude 3.5 Sonnet: 32.3 (#67), GPT-5: 33.1 (#56)
| Benchmark | Claude 3.5 Sonnet | GPT-5 |
|---|---|---|
| BALROG | 32.6% | 32.8% |
| METR Time Horizons | 45.2% | 69.6% |
| Terminal-Bench | — | 49.6% |
| GDPval | — | 34.8% |
| Remote Labor Index | — | 1.7% |
| TheAgentCompany | 24% | — |
| Cybench | 17.5% | — |
| DeepResearch Bench | — | 49.6% |
| LMArena Search | — | 1133 |
Reasoning GPT-5 leads
Claude 3.5 Sonnet: 23.1 (#183), GPT-5: 38.3 (#64)
| Benchmark | Claude 3.5 Sonnet | GPT-5 |
|---|---|---|
| SimpleBench | 41.4% | 56.7% |
| EnigmaEval | 0.9% | 10.5% |
| LMArena Hard Prompts | 1305 | 1416 |
| DTBench | 67.8% | 90.7% |
| Epoch Capabilities Index | 133.55 | 150 |
| ForecastBench | 60.7 | 61.4 |
| ARC-AGI-2 | — | 9.9% |
| Kagi LLM Benchmark | — | 72.7% |
| ARC-AGI-1 | — | 65.7% |
| CritPt | — | 12.6% |
| Chess Puzzles | — | 37% |
| EBR-Bench | — | 12.7% |
| LiveBench Reasoning | 56.7% | — |
| Mystery Game Puzzles | — | 23% |
| LiveBench Data Analysis | 55% | — |
| LMCA | — | 40% |
| LiveBench | 59% | — |
Math GPT-5 leads
Claude 3.5 Sonnet: 19.2 (#288), GPT-5: 55.0 (#44)
| Benchmark | Claude 3.5 Sonnet | GPT-5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 8.5% | 91.4% |
| Omni-MATH | 27.6% | 64.7% |
| LMArena Math | 1307 | 1407 |
| MATH Level 5 | 56.9% | 98.1% |
| FrontierMath (Feb 2025 set) | 2.1% | 32.4% |
| FrontierMath Tier 4 (v1) | 0% | 12.5% |
| FrontierMath (Tiers 1-3) | — | 55.4% |
| FrontierMath Tier 4 | — | 22% |
| ProofBench | — | 18% |
| LiveBench Math | 52.3% | — |
Knowledge GPT-5 leads
Claude 3.5 Sonnet: 28.6 (#245), GPT-5: 56.6 (#43)
| Benchmark | Claude 3.5 Sonnet | GPT-5 |
|---|---|---|
| GPQA Diamond | 55.3% | 86.2% |
| Humanity's Last Exam | 4.1% | 25.3% |
| MMLU-Pro | 77.7% | 86.3% |
| Confabulations | 19.9% | 10.3% |
| GPQA (HELM) | 56.5% | 79.2% |
| LMArena Expert | 1265 | 1419 |
| SimpleQA Verified | — | 50.1% |
| Vectara Hallucination Rate | — | 14.7% |
| MMLU | 87.3% | — |
Multimodal GPT-5 leads
Claude 3.5 Sonnet: 26.5 (#120), GPT-5: 46.8 (#13)
| Benchmark | Claude 3.5 Sonnet | GPT-5 |
|---|---|---|
| LMArena Vision | 1125 | 1232 |
| GeoBench | 62% | 81% |
| VPCT | 33% | 66% |
| Video-MME | 60% | — |
Multilingual GPT-5 leads
Claude 3.5 Sonnet: 43.2 (#185), GPT-5: 51.4 (#110)
| Benchmark | Claude 3.5 Sonnet | GPT-5 |
|---|---|---|
| LMArena Non-English | 1283 | 1397 |
| LMArena Chinese | 1272 | 1422 |
| LMArena French | 1305 | 1410 |
| LMArena German | 1297 | 1416 |
| LMArena Japanese | 1234 | 1409 |
| LMArena Korean | 1200 | 1360 |
| LMArena Russian | 1306 | 1406 |
| LMArena Spanish | 1290 | 1399 |
Instruction Following GPT-5 leads
Claude 3.5 Sonnet: 68.8 (#182), GPT-5: 73.8 (#113)
| Benchmark | Claude 3.5 Sonnet | GPT-5 |
|---|---|---|
| IFEval | 85.5% | 87.5% |
| LMArena Instruction Following | 1297 | 1388 |
| LiveBench Instruction Following | 69.3% | — |
Long Context GPT-5 leads
Claude 3.5 Sonnet: 39.9 (#167), GPT-5: 69.5 (#2)
| Benchmark | Claude 3.5 Sonnet | GPT-5 |
|---|---|---|
| LMArena Longer Query | 1311 | 1399 |
| Fiction.LiveBench | — | 97.2% |
Writing & Preference GPT-5 leads
Claude 3.5 Sonnet: 52.9 (#164), GPT-5: 63.4 (#65)
| Benchmark | Claude 3.5 Sonnet | GPT-5 |
|---|---|---|
| LMArena Text | 1298 | 1406 |
| LMArena Creative Writing | 1292 | 1365 |
| Short-Story Creative Writing | 80.3% | 86% |
| EQ-Bench Creative Writing | 1451 | 1627 |
| WildBench | 79.2% | 85.7% |
| LMArena Multi-Turn | 1326 | 1426 |
| LiveBench Language | 53.8% | — |
Frequently asked questions
Is Claude 3.5 Sonnet better than GPT-5?
GPT-5 is the stronger model overall, scoring 50.9 to 34.6 on the Noometry Index.
Is Claude 3.5 Sonnet or GPT-5 better for coding?
GPT-5 scores higher on coding benchmarks: 50.3 versus 39.0 in the Noometry coding category.
How many benchmarks do Claude 3.5 Sonnet and GPT-5 share?
44 benchmarks have published results for both models. Claude 3.5 Sonnet has 60 scored results on Noometry and GPT-5 has 69.