GPT-6 Astra vs Claude Fable 5.1: benchmarks and token cost

This comparison uses GPT-6 Astra (Max) and Claude Fable 5.1 (Xhigh, Default Fallback). It reports the captured benchmark data, with no new hands-on test.

Equal captured rates, different overall scores

Astra’s captured index is 56.9 against Fable’s 49.7. Both are listed at $10 input and $50 output per million tokens. The equal rate makes quality and response behavior especially relevant to the comparison, while the Max and Xhigh labels identify different configurations. Verify the endpoint and settings used in a trial before interpreting the aggregate gap as an application outcome.

How to read the table

The intelligence index is an aggregate measurement, not a percentage of correct answers in your application. Input and output prices are separate rates per million tokens. Coding and math indices are unavailable in this capture and must not be read as zero. Compare first-token latency separately from output-token throughput, and use the same model effort settings for a trial. Choose using task quality, total time and the cost of accepted results; provider features and deployment requirements need their own checks.