GPT-6 Astra vs Claude Fable 5.1
GPT-6 Astra is from OpenAI. Claude Fable 5.1 is from Anthropic. GPT-6 Astra costs $50.00 per million output tokens. Claude Fable 5.1 costs $50.00. GPT-6 Astra leads on the Epoch Capabilities Index: GPT-6 Astra scores 169.1 and Claude Fable 5.1 scores 166.4. A typical request, about 1,000 words in and 400 words out, costs $0.038 on GPT-6 Astra and $0.038 on Claude Fable 5.1.
Prices updated . Benchmarks updated .
| GPT-6 Astra | Claude Fable 5.1 | |
|---|---|---|
| Lab | OpenAI | Anthropic |
| You send / 1M | $10.00 | $10.00 |
| It replies / 1M | $50.00 | $50.00 |
| Context | 1.05M | 1M |
| Launched | 2026-09-04 | 2026-09-01 |
| Weights | Closed | Closed |
| Typical request | $0.038 | $0.038 |
| ECI | 169.1 | 166.4 |
| GPQA | 95.8% | n/a |
| ARC-AGI-2 | 95.0% | 90.0% |
| HLE | 54.8% | 46.5% |
| AIME | 100.0% | 100.0% |
| SimpleQA | 75.6% | 70.8% |
| CritPt | 31.7% | 31.1% |
| Arena | 1,441 | 1,514 |
| Arena web | 1,773 | 1,746 |
Which is cheaper?
GPT-6 Astra and Claude Fable 5.1 cost the same for output tokens, $50.00 per million. Input tokens are $10.00 per million for GPT-6 Astra and $10.00 per million for Claude Fable 5.1. A typical request, about 1,000 words in and 400 words out, costs $0.038 on GPT-6 Astra and $0.038 on Claude Fable 5.1.
Which scores higher?
GPT-6 Astra scores higher on Epoch Capabilities Index: 169.1 against 166.4 for Claude Fable 5.1. That index is an independent composite from Epoch AI. Lab-reported scores are kept off this comparison. Context windows are 1.05M and 1M. Prices are US dollars per million tokens at current public rates.
Verdict
GPT-6 Astra scores higher on Epoch Capabilities Index (169.1 vs 166.4). A public token price is missing for at least one model, so this page does not call a cheaper winner. Context is 1.05M for GPT-6 Astra and 1M for Claude Fable 5.1. Use the model pages for every score on file, including lab-reported numbers.
FAQ
Which is cheaper, GPT-6 Astra vs Claude Fable 5.1?
GPT-6 Astra and Claude Fable 5.1 cost the same for output tokens, $50.00 per million. Input tokens are $10.00 per million for GPT-6 Astra and $10.00 per million for Claude Fable 5.1. A typical request, about 1,000 words in and 400 words out, costs $0.038 on GPT-6 Astra and $0.038 on Claude Fable 5.1.
Which scores higher, GPT-6 Astra vs Claude Fable 5.1?
GPT-6 Astra scores higher on Epoch Capabilities Index: 169.1 against 166.4 for Claude Fable 5.1. That index is an independent composite from Epoch AI. Lab-reported scores are kept off this comparison. Context windows are 1.05M and 1M. Prices are US dollars per million tokens at current public rates.
What is the verdict for GPT-6 Astra vs Claude Fable 5.1?
GPT-6 Astra scores higher on Epoch Capabilities Index (169.1 vs 166.4). A public token price is missing for at least one model, so this page does not call a cheaper winner. Context is 1.05M for GPT-6 Astra and 1M for Claude Fable 5.1. Use the model pages for every score on file, including lab-reported numbers.
Open this pair in the comparison view
Sources and licenses
- OpenRouter: Prices, context windows, modalities and the model list come from the OpenRouter public API. Data: OpenRouter.
- Vercel AI Gateway: The no-training flag comes from the Vercel AI Gateway model list.
- models.dev: Lab launch dates, open-weights flags and knowledge cutoffs come from models.dev. Copyright (c) 2025 models.dev, MIT License.
- Epoch AI: Independent benchmark scores and the Epoch Capabilities Index (ECI) come from Epoch AI's Benchmarking Hub, used under CC BY 4.0. Epoch AI, Capabilities & benchmarking, epoch.ai/benchmarks. Scores Epoch marks as external keep their original license, and the source is named on each score.
- LMArena: Arena Elo (text, webdev and vision) comes from the LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset), CC BY 4.0, leaderboard date 2026-10-28.
- Lab-reported scores, when an editor has added them, are the lab's own numbers. Each one links to the source and is labeled lab-reported. They are not used to rank the lists.
- What a score measures: the benchmark guide.