GPT-6 Astra vs GPT-6.1 Terra: benchmarks and token cost

This comparison uses GPT-6 Astra (Max) and GPT-6.1 Terra (Max). It reports the captured benchmark data, with no new hands-on test.

Astra and Terra span different rate tiers

Astra records 56.9 on the captured overall index, while Terra records 51.0. Terra’s listed input and output rates are one tenth of Astra’s. That makes the comparison relevant to a model-routing experiment: measure which tasks the lower-rate model completes satisfactorily and which benefit from the higher-scoring candidate. The table does not provide a universal routing threshold.

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.