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GPT 5.6-Sol outperforms Claude Fable-5 on agentic tasks, but questions remain

A new model, GPT 5.6-Sol, has reportedly surpassed Anthropic's Claude Fable-5 on long-horizon agentic tasks, achieving a score of 53.6 compared to Fable-5's 40.5 on the Agents' Last Exam. Despite this performance edge and lower pricing, some reviewers suggest Fable-5 may still excel in architectural reasoning and planning. OpenAI's decision not to release long-context recall numbers for GPT 5.6-Sol has also raised questions, especially with other major labs like Grok and Google having recently released their own frontier models. AI

IMPACT Sets a new benchmark for agentic tasks, potentially influencing future model development and user adoption strategies.

RANK_REASON Frontier lab model release with benchmark results. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on r/Anthropic →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

GPT 5.6-Sol outperforms Claude Fable-5 on agentic tasks, but questions remain

COVERAGE [1]

  1. r/Anthropic TIER_1 English(EN) · /u/RajmaChawala ·

    GPT-5.6 Sol beats Claude Fable 5 by 13.1 points on Agents' Last Exam — but there are some real caveats worth knowing

    <!-- SC_OFF --><div class="md"><p>Yesterday's launch was genuinely interesting. Sol scores 53.6 vs Fable 5's 40.5 on long-horizon agentic tasks. On Terminal-Bench 2.1 it hits 88.8%. The pricing is also lower than Fable 5 for comparable or better agentic performance.</p> <p>BUT — …