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Gemini 4 Argon vs Claude Fable 5.1: benchmarks and token cost

Compare Gemini 4 Argon (High) vs Claude Fable 5.1 (Xhigh, Default Fallback) with benchmark results, speed, pricing, and practical workflow guidance.

Best For Gemini 4 Argon (High)

  • Evaluate this exact variant against a fixed set of representative tasks.

Best For Claude Fable 5.1 (Xhigh, Default Fallback)

  • Compare accepted-result cost and latency under the same task requirements.

Two nearby overall scores with different rates. Compare the captured model variants, overall index, token pricing and response metrics.

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.

Benchmark table

Scores, speed, and pricing captured for this analysis. Open a model page for the latest results.

Metric Google Gemini 4 Argon (High) Anthropic Claude Fable 5.1 (Xhigh, Default Fallback)
Index Scores
Intelligence Index 50.4 49.7
Coding Index--
Math Index--
Benchmark Scores

Verdict

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.

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