Model comparison
Claude Sonnet 4 vs GPT-5
GPT-5 is the stronger model overall, scoring 50.9 to 40.8 on the Noometry Index.
Last verified . 54 shared benchmarks.
Summary
- They share 54 benchmarks with published results for both. Claude Sonnet 4 scores higher in 1 category and GPT-5 in 9 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in long context, where GPT-5 leads 69.5 to 33.7.
- The biggest single-benchmark swing is Fiction.LiveBench: 46.9% for Claude Sonnet 4 and 97.2% for GPT-5.
- GPT-5 is cheaper at $1.25 / $10 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.
- GPT-5 accepts more context: 400K tokens versus 200K.
Side by side
| Claude Sonnet 4 | GPT-5 | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 40.8 | 50.9 |
| Released | 2025-05-22 | 2025-08-07 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 400K |
| Max output | 64K | 128K |
| Input $ / M tokens | $3 | $1.25 |
| Output $ / M tokens | $15 | $10 |
| Results tracked | 58 | 69 |
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Category by category
Coding GPT-5 leads
Claude Sonnet 4: 43.5 (#88), GPT-5: 50.3 (#47)
| Benchmark | Claude Sonnet 4 | GPT-5 |
|---|---|---|
| SWE-bench Verified (bash only) | 64.9% | 65% |
| Aider Polyglot | 61.3% | 88% |
| SciCode | 40% | 42.9% |
| GSO | 4.9% | 6.9% |
| WeirdML | 46.1% | 60.7% |
| LMArena Coding | 1414 | 1436 |
| ALE-Bench | 655.35 | 1,162 |
| SWE-bench Verified | — | 73.6% |
| LMArena WebDev | — | 1418 |
| AlgoTune | — | 1.67 |
Agentic & Tool Use Claude Sonnet 4 leads
Claude Sonnet 4: 38.5 (#31), GPT-5: 33.1 (#56)
| Benchmark | Claude Sonnet 4 | GPT-5 |
|---|---|---|
| DeepResearch Bench | 46.6% | 49.6% |
| METR Time Horizons | 62% | 69.6% |
| Terminal-Bench | — | 49.6% |
| GDPval | — | 34.8% |
| Remote Labor Index | — | 1.7% |
| TheAgentCompany | 33.1% | — |
| Cybench | 35% | — |
| OSWorld | 43.9% | — |
| BALROG | — | 32.8% |
| LMArena Search | — | 1133 |
Reasoning GPT-5 leads
Claude Sonnet 4: 22.9 (#187), GPT-5: 38.3 (#64)
| Benchmark | Claude Sonnet 4 | GPT-5 |
|---|---|---|
| ARC-AGI-2 | 5.9% | 9.9% |
| SimpleBench | 45.5% | 56.7% |
| Kagi LLM Benchmark | 73% | 72.7% |
| ARC-AGI-1 | 40% | 65.7% |
| CritPt | 0.3% | 12.6% |
| EnigmaEval | 3.1% | 10.5% |
| LMArena Hard Prompts | 1372 | 1416 |
| DTBench | 77.1% | 90.7% |
| LMCA | 29% | 40% |
| Epoch Capabilities Index | 141.69 | 150 |
| ForecastBench | 60.2 | 61.4 |
| Chess Puzzles | — | 37% |
| EBR-Bench | — | 12.7% |
| Mystery Game Puzzles | — | 23% |
Math GPT-5 leads
Claude Sonnet 4: 43.3 (#80), GPT-5: 55.0 (#44)
| Benchmark | Claude Sonnet 4 | GPT-5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 71.1% | 91.4% |
| Omni-MATH | 60.2% | 64.7% |
| LMArena Math | 1375 | 1407 |
| MATH Level 5 | 84.4% | 98.1% |
| FrontierMath (Feb 2025 set) | 4.1% | 32.4% |
| FrontierMath Tier 4 (v1) | 0% | 12.5% |
| FrontierMath (Tiers 1-3) | — | 55.4% |
| FrontierMath Tier 4 | — | 22% |
| ProofBench | — | 18% |
Knowledge GPT-5 leads
Claude Sonnet 4: 41.8 (#108), GPT-5: 56.6 (#43)
| Benchmark | Claude Sonnet 4 | GPT-5 |
|---|---|---|
| GPQA Diamond | 79.2% | 86.2% |
| Humanity's Last Exam | 7.8% | 25.3% |
| MMLU-Pro | 84.3% | 86.3% |
| Confabulations | 13.2% | 10.3% |
| Vectara Hallucination Rate | 10.3% | 14.7% |
| GPQA (HELM) | 70.6% | 79.2% |
| LMArena Expert | 1372 | 1419 |
| SimpleQA Verified | — | 50.1% |
Multimodal GPT-5 leads
Claude Sonnet 4: 26.2 (#121), GPT-5: 46.8 (#13)
| Benchmark | Claude Sonnet 4 | GPT-5 |
|---|---|---|
| LMArena Vision | 1191 | 1232 |
| GeoBench | 37% | 81% |
| VPCT | 34% | 66% |
| MindCube | 44.8% | — |
Multilingual GPT-5 leads
Claude Sonnet 4: 46.7 (#156), GPT-5: 51.4 (#110)
| Benchmark | Claude Sonnet 4 | GPT-5 |
|---|---|---|
| LMArena Non-English | 1333 | 1397 |
| LMArena Chinese | 1350 | 1422 |
| LMArena French | 1363 | 1410 |
| LMArena German | 1331 | 1416 |
| LMArena Japanese | 1302 | 1409 |
| LMArena Korean | 1291 | 1360 |
| LMArena Russian | 1355 | 1406 |
| LMArena Spanish | 1357 | 1399 |
Instruction Following GPT-5 leads
Claude Sonnet 4: 71.7 (#145), GPT-5: 73.8 (#113)
| Benchmark | Claude Sonnet 4 | GPT-5 |
|---|---|---|
| IFEval | 84% | 87.5% |
| LMArena Instruction Following | 1376 | 1388 |
Long Context GPT-5 leads
Claude Sonnet 4: 33.7 (#259), GPT-5: 69.5 (#2)
| Benchmark | Claude Sonnet 4 | GPT-5 |
|---|---|---|
| Fiction.LiveBench | 46.9% | 97.2% |
| LMArena Longer Query | 1398 | 1399 |
Writing & Preference GPT-5 leads
Claude Sonnet 4: 57.1 (#132), GPT-5: 63.4 (#65)
| Benchmark | Claude Sonnet 4 | GPT-5 |
|---|---|---|
| LMArena Text | 1351 | 1406 |
| LMArena Creative Writing | 1345 | 1365 |
| Short-Story Creative Writing | 81.4% | 86% |
| EQ-Bench Creative Writing | 1483 | 1627 |
| WildBench | 83.8% | 85.7% |
| LMArena Multi-Turn | 1376 | 1426 |
Frequently asked questions
Is Claude Sonnet 4 better than GPT-5?
GPT-5 is the stronger model overall, scoring 50.9 to 40.8 on the Noometry Index.
Which is cheaper, Claude Sonnet 4 or GPT-5?
GPT-5 is cheaper. It lists at $1.25 per million input tokens and $10 per million output tokens; Claude Sonnet 4 lists at $3 and $15.
Is Claude Sonnet 4 or GPT-5 better for coding?
GPT-5 scores higher on coding benchmarks: 50.3 versus 43.5 in the Noometry coding category.
Which has the bigger context window?
GPT-5 does, with 400K tokens against 200K.
How many benchmarks do Claude Sonnet 4 and GPT-5 share?
54 benchmarks have published results for both models. Claude Sonnet 4 has 58 scored results on Noometry and GPT-5 has 69.