Gemini 4 Carbon vs GPT-6.1 Terra: benchmarks and token cost

This comparison uses Gemini 4 Carbon (High) and GPT-6.1 Terra (Max). It reports the captured benchmark data, with no new hands-on test.

A wide rate gap between the two candidates

Carbon’s captured index is 59.4 and Terra’s is 51.0. Terra’s input and output token rates are one quarter of Carbon’s in this snapshot. That makes this a meaningful comparison for systems handling many routine requests: assess failure and retry rates before treating the cheaper token price as the cheaper completed task.

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.