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Trending1,050,000 Tokens: GPT-6 Astra vs Claude Fable 5.1 in 3 Numbers
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HomeModelsGPT-6 Astra
GPT-6 Astra

GPT-6 Astra

OpenAIMULTIMODAL Proprietary
Provider
OpenAI
Modality
MULTIMODAL
Parameters
—
Context window
1,050,000 tokens
Weights
Proprietary
Released
3 Sept 2026
Compare GPT-6 Astra with others

GPT-6 Astra (3 September 2026) is OpenAI's flagship and the first of the GPT-6 line — built for end-to-end computer use, browser work, coding and research, with a 1,050,000-token context and five reasoning-effort levels up to max.

Best for

  • Long, multi-step agentic work — filling forms, driving spreadsheets, operating a browser end to end
  • Complex reasoning and software engineering across whole repositories
  • Very long context: 922,000 tokens of input in a single request
  • Document, slide and spreadsheet creation from a brief

How it compares — and the India angle

  • At $10/$50 per 1M tokens it is twice Claude Opus 5's price, and its cached input ($1.00/1M) is four times Claude Fable 5.1's $0.25 — on agentic work that re-reads context all day, that one line decides the bill.
  • Indian devs: the API default effort is low, not the level the marketing shows. Set reasoning.effort explicitly, and treat xhigh/max as a budget decision rather than a default.
  • Watch the 272,000-token line: a request past it is billed at 2x input and 1.5x output for the whole request, not just the excess — chunk long documents rather than paying twice for all of it.
  • It is the first OpenAI model to meet the company's critical cybersecurity capability threshold, which is why access began with vetted customers rather than everyone.

Benchmarks

Representative public scores (approximate, higher is better) for relative comparison. Check the provider for the latest official results.

OpenAI MRCR v2 8-needle 256K-512K100
OpenAI MRCR v2 8-needle 512K-1M96.3

How to access

API $10 / 1M input, $1 / 1M cached input, $12.50 / 1M cache writes, $50 / 1M output. Batch and Flex at 50%. Fast mode doubles speed and price. Requests over 272K input tokens: 2x input and 1.5x output for the full request.

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