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Claude Opus 4.6 leads in reasoning depth, GPT-5.5 in speed

A recent comparison of leading large language models revealed distinct strengths and weaknesses in reasoning capabilities. Claude Opus 4.6 excelled in generating detailed, step-by-step justifications for complex tasks, while GPT-5.5 demonstrated superior speed in reaching correct answers. Gemini 3.1 Pro offered a balance of depth and cost-effectiveness, though with less comprehensive output. The analysis specifically highlighted potential regressions in Anthropic's newer Opus 4.7 model for long-context recall, making Opus 4.6 a preferred choice for certain reasoning-intensive workloads. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Highlights that model selection for complex reasoning tasks requires careful consideration of speed, depth, and cost, rather than relying on single benchmark scores.

RANK_REASON The cluster compares existing models on specific benchmarks, presenting research findings rather than a new model release. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 · Owen ·

    Claude Opus 4.6 vs GPT-5.5 vs Gemini 3.1 Pro: Reasoning Benchmarks (3 Real Tasks Tested)

    <h2> Claude Opus 4.6 vs GPT-5.5 vs Gemini 3.1 Pro: Reasoning Benchmarks (3 Real Tasks Tested) </h2> <p><strong>TL;DR</strong> — On three reasoning tasks (legal contradiction analysis, multi-step proof, nested-spec planning), Claude Opus 4.6 produced the most rigorous step-by-step…