This comparison uses Gemini 4 Argon (High) and Claude Fable 5.1 (Xhigh, Default Fallback). It reports the captured benchmark data, with no new hands-on test.
Two nearby overall scores with different rates
Argon’s captured intelligence index is 50.4 and Fable’s is 49.7. Argon’s listed input and output token rates are lower, at $4 and $20 per million versus $10 and $50. The narrow score difference should be checked against representative tasks and response constraints. Missing specialized indices prevent a supported claim that either is better at coding or mathematics.
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.
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