Pyyan / Compare / Claude Opus 5 vs GPT-6 Astra
Claude Opus 5 vs GPT-6 Astra
2 of 5Language Models · verified 5 Sept 2026
Claude Opus 5Anthropiccurrent
GPT-6 AstraOpenAIcurrent| Specification | Claude Opus 5 | GPT-6 Astra |
|---|---|---|
| Summary | Complex agentic coding and enterprise work at half the cost of Fable 5. | Saturates three of the benchmarks it reports, and ships disabled for enterprise. |
| Context | 1M | 1.05M |
| Input ($/Mtok) | $5 | $10 |
| Output ($/Mtok) | $25 | $50 |
| Licence | Proprietary | Proprietary |
| Max output | 128K | 128K |
| Parameters | — | Not published |
| Released | 24 Jul 2026 | 3 Sep 2026 |
| Model ID | claude-opus-5 | gpt-6-astra |
| Category | Language Models | Language Models |
| Official | Anthropic ↗ | — |
Highlighted rows are where these differ.
Claude Opus 5
- Thinking on by default — a step change over Opus 4.8
- 512-token prompt-cache minimum, down from 1024
- Separate rate-limit bucket from the Opus 4.x pool
Best for agentic coding.
GPT-6 Astra
- 97.6% on FrontierMath Tier 4, 99.9% on ARC-AGI-3 and 100% on ExploitBench
- Above 272K input tokens the whole request reprices: input and cache at 2x, output at 1.5x
- Rolls out to OpenAI's Daybreak cyber programme first, and arrives switched off for enterprise
Best for hard reasoning and computer use.