Model comparison
Claude Sonnet 4 vs GPT-6 Astra
GPT-6 Astra is the stronger model overall, scoring 70.8 to 40.8 on the Noometry Index. Claude Sonnet 4 costs 3.3× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.
Last verified . 33 shared benchmarks.
Summary
- They share 33 benchmarks with published results for both. Claude Sonnet 4 scores higher in 0 categories and GPT-6 Astra in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Astra leads 85.1 to 22.9.
- The biggest single-benchmark swing is ARC-AGI-2: 5.9% for Claude Sonnet 4 and 95% for GPT-6 Astra.
- Claude Sonnet 4 is cheaper at $3 / $15 per million input/output tokens, against $10 / $50 for GPT-6 Astra.
- GPT-6 Astra accepts more context: 1.05M tokens versus 200K.
Side by side
| Claude Sonnet 4 | GPT-6 Astra | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 40.8 | 70.8 |
| Released | 2025-05-22 | 2026-09-03 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 1.05M |
| Max output | 64K | 128K |
| Input $ / M tokens | $3 | $10 |
| Output $ / M tokens | $15 | $50 |
| Results tracked | 58 | 56 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-6 Astra leads
Claude Sonnet 4: 43.5 (#88), GPT-6 Astra: 73.7 (#2)
| Benchmark | Claude Sonnet 4 | GPT-6 Astra |
|---|---|---|
| SciCode | 40% | 56.5% |
| GSO | 4.9% | 79.4% |
| WeirdML | 46.1% | 93.6% |
| LMArena Coding | 1414 | 1487 |
| ALE-Bench | 655.35 | 2,951 |
| DeepSWE | — | 74.1% |
| FrontierCode | — | 53.3% |
| SWE-bench Verified (bash only) | 64.9% | — |
| Aider Polyglot | 61.3% | — |
| LMArena WebDev | — | 1786 |
| FrontierSWE | — | 65.5% |
| MirrorCode | — | 46.7% |
Agentic & Tool Use GPT-6 Astra leads
Claude Sonnet 4: 38.5 (#31), GPT-6 Astra: 52.9 (#3)
| Benchmark | Claude Sonnet 4 | GPT-6 Astra |
|---|---|---|
| APEX-Agents | — | 64.7% |
| Remote Labor Index | — | 20.8% |
| TheAgentCompany | 33.1% | — |
| Cybench | 35% | — |
| DeepResearch Bench | 46.6% | — |
| OSWorld | 43.9% | — |
| BALROG | — | 68.3% |
| GDP.pdf | — | 34.2% |
| METR Time Horizons | 62% | — |
| Vending-Bench 2 | — | 15,515 |
Reasoning GPT-6 Astra leads
Claude Sonnet 4: 22.9 (#187), GPT-6 Astra: 85.1 (#1)
| Benchmark | Claude Sonnet 4 | GPT-6 Astra |
|---|---|---|
| ARC-AGI-2 | 5.9% | 95% |
| ARC-AGI-1 | 40% | 98.5% |
| CritPt | 0.3% | 31.7% |
| LMArena Hard Prompts | 1372 | 1462 |
| DTBench | 77.1% | 97.3% |
| LMCA | 29% | 64.4% |
| Epoch Capabilities Index | 141.69 | 166.45 |
| SimpleBench | 45.5% | — |
| Kagi LLM Benchmark | 73% | — |
| NYT Connections (extended) | — | 98.1% |
| Chess Puzzles | — | 72% |
| EnigmaEval | 3.1% | — |
| EBR-Bench | — | 76.2% |
| Mystery Game Puzzles | — | 84% |
| Bench to the Future 3 | — | 0.14 |
| ForecastBench | 60.2 | — |
Math GPT-6 Astra leads
Claude Sonnet 4: 43.3 (#80), GPT-6 Astra: 93.5 (#2)
| Benchmark | Claude Sonnet 4 | GPT-6 Astra |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 71.1% | 100% |
| LMArena Math | 1375 | 1465 |
| FrontierMath (Tiers 1-3) | — | 93.7% |
| FrontierMath Tier 4 | — | 97.6% |
| ProofBench | — | 99% |
| Omni-MATH | 60.2% | — |
| MATH Level 5 | 84.4% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
| FrontierMath Erdős | — | 2.9% |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge GPT-6 Astra leads
Claude Sonnet 4: 41.8 (#108), GPT-6 Astra: 75.3 (#1)
| Benchmark | Claude Sonnet 4 | GPT-6 Astra |
|---|---|---|
| GPQA Diamond | 79.2% | 95.8% |
| Humanity's Last Exam | 7.8% | 54.8% |
| Vectara Hallucination Rate | 10.3% | 8.7% |
| LMArena Expert | 1372 | 1483 |
| SimpleQA Verified | — | 75.6% |
| MMLU-Pro | 84.3% | — |
| Confabulations | 13.2% | — |
| GPQA (HELM) | 70.6% | — |
Multimodal GPT-6 Astra leads
Claude Sonnet 4: 26.2 (#121), GPT-6 Astra: 55.0 (#3)
| Benchmark | Claude Sonnet 4 | GPT-6 Astra |
|---|---|---|
| LMArena Vision | 1191 | 1281 |
| GeoBench | 37% | — |
| VPCT | 34% | — |
| Blueprint-Bench 2 | — | 49.7% |
| Furniture Assembly | — | 80% |
| LMArena Document | — | 1468 |
| MindCube | 44.8% | — |
Multilingual GPT-6 Astra leads
Claude Sonnet 4: 46.7 (#156), GPT-6 Astra: 53.7 (#61)
| Benchmark | Claude Sonnet 4 | GPT-6 Astra |
|---|---|---|
| LMArena Non-English | 1333 | 1430 |
| LMArena Chinese | 1350 | 1484 |
| LMArena French | 1363 | 1456 |
| LMArena German | 1331 | 1440 |
| LMArena Japanese | 1302 | 1379 |
| LMArena Korean | 1291 | 1426 |
| LMArena Russian | 1355 | 1436 |
| LMArena Spanish | 1357 | 1407 |
Instruction Following GPT-6 Astra leads
Claude Sonnet 4: 71.7 (#145), GPT-6 Astra: 76.3 (#44)
| Benchmark | Claude Sonnet 4 | GPT-6 Astra |
|---|---|---|
| LMArena Instruction Following | 1376 | 1450 |
| IFEval | 84% | — |
Long Context GPT-6 Astra leads
Claude Sonnet 4: 33.7 (#259), GPT-6 Astra: 44.5 (#62)
| Benchmark | Claude Sonnet 4 | GPT-6 Astra |
|---|---|---|
| LMArena Longer Query | 1398 | 1456 |
| Fiction.LiveBench | 46.9% | — |
Writing & Preference GPT-6 Astra leads
Claude Sonnet 4: 57.1 (#132), GPT-6 Astra: 75.3 (#7)
| Benchmark | Claude Sonnet 4 | GPT-6 Astra |
|---|---|---|
| LMArena Text | 1351 | 1441 |
| LMArena Creative Writing | 1345 | 1418 |
| EQ-Bench Creative Writing | 1483 | 2173 |
| LMArena Multi-Turn | 1376 | 1448 |
| Short-Story Creative Writing | 81.4% | — |
| WildBench | 83.8% | — |
Frequently asked questions
Is Claude Sonnet 4 better than GPT-6 Astra?
GPT-6 Astra is the stronger model overall, scoring 70.8 to 40.8 on the Noometry Index. Claude Sonnet 4 costs 3.3× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.
Which is cheaper, Claude Sonnet 4 or GPT-6 Astra?
Claude Sonnet 4 is cheaper. It lists at $3 per million input tokens and $15 per million output tokens; GPT-6 Astra lists at $10 and $50.
Is Claude Sonnet 4 or GPT-6 Astra better for coding?
GPT-6 Astra scores higher on coding benchmarks: 73.7 versus 43.5 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Astra does, with 1.05M tokens against 200K.
How many benchmarks do Claude Sonnet 4 and GPT-6 Astra share?
33 benchmarks have published results for both models. Claude Sonnet 4 has 58 scored results on Noometry and GPT-6 Astra has 56.