Claude Fable 5.2 vs GPT-6 Astra
Claude Fable 5.2 and GPT-6 Astra are closely matched at 61.1 and 56.6 on the LLM Stats Score. Claude Fable 5.2 is 1.3x cheaper per token.
Anthropic · OpenAI · Updated for 2026
Which is better?
Claude Fable 5.2 and GPT-6 Astra are closely matched on the overall LLM Stats Score at 61.1 and 56.6.
In the 6 individual benchmarks reported for both models, Claude Fable 5.2 wins 5; this is a narrower head-to-head signal than the composite indexes.
On price, Claude Fable 5.2 is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Astra also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude Fable 5.2
- you value its reported benchmark strengths — it wins 5 of 6 exact shared results
- cost matters — it's about 1.3x cheaper per token
- you want the most recent training data — it shipped Nov 2026
Choose GPT-6 Astra
- you process long inputs — it offers a 1,050,000 token context window
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
29 reported for Claude Fable 5.2 · 23 for GPT-6 Astra
Claude Fable 5.2 outperforms in 5 benchmarks (AutomationBench, DeepSWE 1.1, HealthBench Professional, Terminal-Bench 4.0, Terminal-Bench-Science 0.1), while GPT-6 Astra is better at 1 benchmark (ARC-AGI-3).
Claude Fable 5.2 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Fable 5.2 ($8.00/1M tokens) is 1.3x cheaper than GPT-6 Astra ($10.00/1M tokens).
For output processing, Claude Fable 5.2 ($40.00/1M tokens) is 1.3x cheaper than GPT-6 Astra ($50.00/1M tokens).
In conclusion, GPT-6 Astra is more expensive than Claude Fable 5.2.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Astra accepts 1,050,000 input tokens compared to Claude Fable 5.2's 1,000,000 tokens. Both models can generate responses up to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude Fable 5.2 and GPT-6 Astra support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Fable 5.2
GPT-6 Astra
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Claude Fable 5.2 was released on 2026-11-09, while GPT-6 Astra was released on 2026-09-04.
Claude Fable 5.2 is 2 months newer than GPT-6 Astra.
Nov 9, 2026
3 days ago
2mo newerSep 4, 2026
2 months ago
Knowledge Cutoff
When training data ends
Claude Fable 5.2 has a knowledge cutoff of 2026-06-01, while GPT-6 Astra has a cutoff of 2026-04-30.
Claude Fable 5.2 has more recent training data (up to 2026-06-01), making it potentially better informed about events through that date compared to GPT-6 Astra (2026-04-30).
Jun 2026
2 mo newerApr 2026
Provider Availability
Claude Fable 5.2 is available from Anthropic. GPT-6 Astra is available from OpenAI.
Claude Fable 5.2
GPT-6 Astra
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Fable 5.2 and GPT-6 Astra side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Fable 5.2 vs GPT-6 Astra.