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

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

Carbon’s score versus Sol’s token cost

Carbon leads the captured index at 59.4 against Sol’s 54.5. Sol’s listed input and output rates are half Carbon’s, so high-volume use presents a clear cost-versus-measured-score tradeoff. Estimate the actual input/output mix and compare accepted results on the same task set before deciding whether the index gap justifies the higher rate.

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.