AI Signal 497
Evaluation shows Claude Opus 4.7 and Gemini 3.5 Flash have identical resolve rates but diverge in steps and cost
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A new JetBrains evaluation pipeline reveals that two leading LLMs solve the same coding benchmarks while differing markedly in execution steps and monetary cost.
Engineers often pick a model based on pass-rate alone, but hidden differences in token usage and runtime can affect operating expenses and latency. Understanding efficiency and process quality helps teams select the model that best fits a given coding task and budget.
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Both Claude Opus 4.7 and Gemini 3.5 Flash achieved the same resolve rate on a private benchmark, masking distinct execution profiles.
Opus averaged 184 steps at a cost of USD 2.79 per run, while Gemini averaged 271 steps at a cost of USD 1.24 per run.
The new pipeline evaluates functional outcome, efficiency, patch quality, and process quality to expose differences beyond simple pass/fail metrics.
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