Model vs model
Claude Fable 5.2 vs GPT-6 Astra
At a glance
Longer bar means the bigger number.
Open or closed · can you download the model and run it yourself?
Blended price · per 1M tokens, lower is better
Where they sit among all 46 models
GPT-6 Astra ranks 5th of the 42 models with an Intelligence Index. Up and to the left is smarter for less money. Hover or tap a dot for its numbers, then click it to compare that model with Claude Fable 5.2.
Which one to pick
Pick Claude Fable 5.2 if
- you want the lower bill ($16 vs $20 per 1M tokens blended)
GPT-6 Astra’s “controversial” take on humans
We asked GPT-6 Astra and 13 other models the same question three times each: “What is your most controversial take about humans? Give your own honest view, not a survey of opinions, and don't hedge.” Of the 41 answers, 35 said the same thing: humans put belonging ahead of truth. GPT-6 Astra gave it all three times. Claude Fable 5.2 wasn’t in that test. Read the full story.
GPT-6 Astra
- Answer 1 · the common take“Humanity’s biggest moral failure is the talent for making convenience look like principle.”
- Answer 2 · the common take“Humans use intelligence less to discover what is true than to make what they want sound principled.”
- Answer 3 · the common take“Humans care more about belonging than being right, and much of what they call moral conviction is loyalty in disguise.”
Answers exactly as the models wrote them. “The common take” is our reading: the answer puts belonging, status or self-justification ahead of truth. How we ran it
How smart is each one?
Every intelligence score we have
Out of 100, higher is better. Claude Fable 5.2 GPT-6 Astra
Claude Fable 5.2 has no Artificial Analysis scores yet, so only our own tests compare them.
Overall
Intelligence Index
52.7
By area
Coding
76.9Agentic work
51
By field of work
Finance & accounting
55.2Legal
58.5Healthcare & medicine
52.7Economics
59.8Engineering
54.7Strategy & operations
57.3
Benchmarks
Factual knowledge · SimpleQA
75.6Hard reasoning · Humanity's Last Exam
54.7Science · GPQA Diamond
96.1Competition math · OTIS Mock AIME
100Research math · FrontierMath
93.7Scientific coding · SciCode
56.5Mergeable code · FrontierCode 2.0
42.8Terminal tasks · Terminal-Bench 4.0
59.1Tool use · τ-Bench Banking
41.4Long documents · AA-LCR
80.7Uncensored · UGI
53.5
Our tests
Next.js coding tasks · Vercel's Next.js evals, % of tasks passed
90Claude Fable 5.2: not scored yet
The specs
| Spec | Claude Fable 5.2 | GPT-6 Astra |
|---|---|---|
| Input price | $8 per 1M | $10 per 1M |
| Output price | $40 per 1M | $50 per 1M |
| Cost per test task | Not tested | $3.26 |
| Context window | 1M | 1.05M |
| Max output | 128K | 128K |
| Accepts | Text, Image, PDF | Text, Image, PDF |
| Open weights | No | No |
| Lab | Anthropic | OpenAI |
| Released | Nov 2026 | Sep 2026 |
| Knowledge cutoff | Not published | Apr 2026 |
Blended price weighs 3 parts input to 1 part output. List prices from models.dev. Cost per test task from Artificial Analysis.
Questions
Is Claude Fable 5.2 or GPT-6 Astra cheaper?
Claude Fable 5.2 is cheaper. It charges $8 per 1M input tokens and $40 per 1M output tokens, against $10 and $50 for GPT-6 Astra. Blended 3 parts input to 1 part output, that is $16 against $20 per 1M tokens.
Are Claude Fable 5.2 and GPT-6 Astra open source?
No. Both are closed models: the weights aren't published, so you can only use them through an API, from Anthropic and OpenAI or a cloud that resells them.
Which has the longer context window?
They are about the same: Claude Fable 5.2 accepts 1M tokens and GPT-6 Astra 1.05M.
Can I compare Claude Fable 5.2 and GPT-6 Astra on my own prompt?
Yes. ModelCompare sends one prompt to both models at once and shows each answer side by side with what it cost. You can try it free without an account.
Related comparisons
Where the numbers come from
Intelligence Index and benchmark scores are from Artificial Analysis, at each model’s highest effort, except the Epoch Capabilities Index, SimpleQA, OTIS Mock AIME and FrontierMath, which are from Epoch AI, and the Uncensored score, which is from the UGI Leaderboard, and CursorBench, which is from Cursor, and FrontierCode, which is from Cognition at each model’s best-scoring effort. The hallucination test is ours: questions with one exact answer, fake evidence pushed against right answers and requests that tempt a model to name packages that don’t exist. Prices are list prices from models.dev. Example answers come from our own test runs. Updated November 10, 2026.