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

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

Sol’s captured score and rate both compare favorably

Sol’s captured intelligence index is 54.5 and Argon’s is 50.4. Sol’s listed input and output rates are half Argon’s. The aggregate figures make Sol a useful baseline, while a provider-specific integration or a workload with different latency requirements can change the practical choice. The source data does not establish a coding or math winner.

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.