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Gemini 4 Carbon vs Claude Opus 5.5: benchmarks and token cost

Compare Gemini 4 Carbon (High) vs Claude Opus 5.5 (Max, Default Fallback) with benchmark results, speed, pricing, and practical workflow guidance.

Best For Gemini 4 Carbon (High)

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

Best For Claude Opus 5.5 (Max, Default Fallback)

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

Carbon’s narrow index lead. Compare the captured model variants, overall index, token pricing and response metrics.

This comparison uses Gemini 4 Carbon (High) and Claude Opus 5.5 (Max, Default Fallback). It reports the captured benchmark data, with no new hands-on test.

Carbon’s narrow index lead

Carbon records 59.4 on the measured intelligence index against Opus at 58.4, with the same captured input and output token rates. This is a close aggregate comparison. Use the matched price as a reason to inspect answer quality and response behavior on the same tasks, rather than assuming the one-point index difference establishes a winner for coding or another specialized workload.

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 Carbon (High) Anthropic Claude Opus 5.5 (Max, Default Fallback)
Index Scores
Intelligence Index 59.4 58.4
Coding Index--
Math Index--
Benchmark Scores

Verdict

Carbon records 59.4 on the measured intelligence index against Opus at 58.4, with the same captured input and output token rates. This is a close aggregate comparison. Use the matched price as a reason to inspect answer quality and response behavior on the same tasks, rather than assuming the one-point index difference establishes a winner for coding or another specialized workload.

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