Model comparison
Claude Opus 4.5 vs GPT-6 Astra
GPT-6 Astra is the stronger model overall, scoring 70.8 to 50.5 on the Noometry Index. Claude Opus 4.5 costs 2.0× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.
Last verified . 44 shared benchmarks.
Summary
- They share 44 benchmarks with published results for both. Claude Opus 4.5 scores higher in 3 categories and GPT-6 Astra in 7 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Astra leads 93.5 to 38.6.
- The biggest single-benchmark swing is FrontierMath Tier 4: 4.9% for Claude Opus 4.5 and 97.6% for GPT-6 Astra.
- Claude Opus 4.5 is cheaper at $5 / $25 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 Opus 4.5 | GPT-6 Astra | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 50.5 | 70.8 |
| Released | 2025-11-01 | 2026-09-03 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 1.05M |
| Max output | 64K | 128K |
| Input $ / M tokens | $5 | $10 |
| Output $ / M tokens | $25 | $50 |
| Results tracked | 69 | 56 |
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Category by category
Coding GPT-6 Astra leads
Claude Opus 4.5: 54.8 (#27), GPT-6 Astra: 73.7 (#2)
| Benchmark | Claude Opus 4.5 | GPT-6 Astra |
|---|---|---|
| LMArena WebDev | 1494 | 1786 |
| GSO | 26.5% | 79.4% |
| WeirdML | 63.7% | 93.6% |
| LMArena Coding | 1504 | 1487 |
| ALE-Bench | 1,025 | 2,951 |
| SWE-bench Verified | 76.7% | — |
| DeepSWE | — | 74.1% |
| FrontierCode | — | 53.3% |
| SWE-bench Verified (bash only) | 76.8% | — |
| SWE-bench Multilingual | 70.7% | — |
| FrontierSWE | — | 65.5% |
| SciCode | — | 56.5% |
| MirrorCode | — | 46.7% |
| AlgoTune | 1.77 | — |
Agentic & Tool Use GPT-6 Astra leads
Claude Opus 4.5: 47.3 (#12), GPT-6 Astra: 52.9 (#3)
| Benchmark | Claude Opus 4.5 | GPT-6 Astra |
|---|---|---|
| Remote Labor Index | 3.8% | 20.8% |
| BALROG | 43.5% | 68.3% |
| Vending-Bench 2 | 4,967 | 15,515 |
| Terminal-Bench | 63.1% | — |
| APEX-Agents | — | 64.7% |
| Berkeley Function Calling Leaderboard | 77.5% | — |
| GDPval | 45.5% | — |
| τ²-bench Airline | 84% | — |
| τ²-bench Banking | 24.7% | — |
| τ²-bench Retail | 79.6% | — |
| τ²-bench Telecom | 92.3% | — |
| Cybench | 82% | — |
| DeepResearch Bench | 54.8% | — |
| OSWorld | 66.3% | — |
| GDP.pdf | — | 34.2% |
| LMArena Search | 1180 | — |
| METR Time Horizons | 75% | — |
Reasoning GPT-6 Astra leads
Claude Opus 4.5: 42.6 (#51), GPT-6 Astra: 85.1 (#1)
| Benchmark | Claude Opus 4.5 | GPT-6 Astra |
|---|---|---|
| ARC-AGI-2 | 37.6% | 95% |
| NYT Connections (extended) | 52.5% | 98.1% |
| ARC-AGI-1 | 80% | 98.5% |
| Chess Puzzles | 12% | 72% |
| EBR-Bench | 14.3% | 76.2% |
| LMArena Hard Prompts | 1476 | 1462 |
| Mystery Game Puzzles | 22% | 84% |
| DTBench | 89.9% | 97.3% |
| LMCA | 44.5% | 64.4% |
| Epoch Capabilities Index | 150.09 | 166.45 |
| SimpleBench | 62% | — |
| Kagi LLM Benchmark | 80.2% | — |
| CritPt | — | 31.7% |
| EnigmaEval | 11.9% | — |
| Bench to the Future 3 | — | 0.14 |
| ForecastBench | 60.7 | — |
Math GPT-6 Astra leads
Claude Opus 4.5: 38.6 (#132), GPT-6 Astra: 93.5 (#2)
| Benchmark | Claude Opus 4.5 | GPT-6 Astra |
|---|---|---|
| FrontierMath (Tiers 1-3) | 34.4% | 93.7% |
| FrontierMath Tier 4 | 4.9% | 97.6% |
| OTIS Mock AIME 2024-2025 | 86.1% | 100% |
| ProofBench | 36% | 99% |
| LMArena Math | 1463 | 1465 |
| FrontierMath (Feb 2025 set) | 20.7% | — |
| FrontierMath Erdős | — | 2.9% |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge GPT-6 Astra leads
Claude Opus 4.5: 56.5 (#44), GPT-6 Astra: 75.3 (#1)
| Benchmark | Claude Opus 4.5 | GPT-6 Astra |
|---|---|---|
| GPQA Diamond | 86% | 95.8% |
| Humanity's Last Exam | 25.2% | 54.8% |
| SimpleQA Verified | 45.7% | 75.6% |
| Vectara Hallucination Rate | 10.9% | 8.7% |
| LMArena Expert | 1487 | 1483 |
Multimodal GPT-6 Astra leads
Claude Opus 4.5: 31.4 (#107), GPT-6 Astra: 55.0 (#3)
| Benchmark | Claude Opus 4.5 | GPT-6 Astra |
|---|---|---|
| Furniture Assembly | 28.3% | 80% |
| LMArena Document | 1462 | 1468 |
| LMArena Vision | — | 1281 |
| GeoBench | 75% | — |
| VPCT | 40% | — |
| Blueprint-Bench 2 | — | 49.7% |
Multilingual Too close to call
Claude Opus 4.5: 54.3 (#47), GPT-6 Astra: 53.7 (#61)
| Benchmark | Claude Opus 4.5 | GPT-6 Astra |
|---|---|---|
| LMArena Non-English | 1438 | 1430 |
| LMArena Chinese | 1470 | 1484 |
| LMArena French | 1471 | 1456 |
| LMArena German | 1449 | 1440 |
| LMArena Japanese | 1416 | 1379 |
| LMArena Korean | 1424 | 1426 |
| LMArena Russian | 1447 | 1436 |
| LMArena Spanish | 1458 | 1407 |
Instruction Following Claude Opus 4.5 leads
Claude Opus 4.5: 77.5 (#19), GPT-6 Astra: 76.3 (#44)
| Benchmark | Claude Opus 4.5 | GPT-6 Astra |
|---|---|---|
| LMArena Instruction Following | 1478 | 1450 |
Long Context Claude Opus 4.5 leads
Claude Opus 4.5: 46.5 (#22), GPT-6 Astra: 44.5 (#62)
| Benchmark | Claude Opus 4.5 | GPT-6 Astra |
|---|---|---|
| LMArena Longer Query | 1480 | 1456 |
| CL-bench | 21.1% | — |
Writing & Preference GPT-6 Astra leads
Claude Opus 4.5: 68.1 (#28), GPT-6 Astra: 75.3 (#7)
| Benchmark | Claude Opus 4.5 | GPT-6 Astra |
|---|---|---|
| LMArena Text | 1451 | 1441 |
| LMArena Creative Writing | 1445 | 1418 |
| EQ-Bench Creative Writing | 1687 | 2173 |
| LMArena Multi-Turn | 1466 | 1448 |
Frequently asked questions
Is Claude Opus 4.5 better than GPT-6 Astra?
GPT-6 Astra is the stronger model overall, scoring 70.8 to 50.5 on the Noometry Index. Claude Opus 4.5 costs 2.0× 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 Opus 4.5 or GPT-6 Astra?
Claude Opus 4.5 is cheaper. It lists at $5 per million input tokens and $25 per million output tokens; GPT-6 Astra lists at $10 and $50.
Is Claude Opus 4.5 or GPT-6 Astra better for coding?
GPT-6 Astra scores higher on coding benchmarks: 73.7 versus 54.8 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 Opus 4.5 and GPT-6 Astra share?
44 benchmarks have published results for both models. Claude Opus 4.5 has 69 scored results on Noometry and GPT-6 Astra has 56.