GPT-6.1 Sol vs GPT-6.1 Terra: benchmarks and token cost

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

Comparing two rate tiers within GPT-6.1

Sol records 54.5 on the captured intelligence index and Terra 51.0. Terra’s listed input and output rates are half Sol’s. This is a useful pair for a controlled quality-versus-cost test within one provider family. Keep request settings and grading fixed, and count retries or escalations when estimating the lower-rate option’s effective savings.

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.