ACB
63.2 score
GPT-5.6 Sol (Max) ranks #28 on the AskClash LLM leaderboard with an overall score of 62.9. Compare GPT-5.6 Sol (Max) vs GPT, Claude, Gemini, DeepSeek, open-weight, and frontier AI models using public benchmark scores, token pricing, context window, and access details.
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Cached benchmark values can include HLE, GPQA, SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, MCP Atlas, MMMU-Pro, ARC-AGI-2, Tau2, and model-specific coding or agent scores.
63.2 score
9.5 score
49.5 score
94.1 score
72.7 score
1608.6 score
83.4 score
92.5 score
85.1 score
Use these comparison links to evaluate GPT-5.6 Sol (Max) against nearby LLMs by benchmark score, price, context window, and provider.
Cached AskClash article matches that can provide release, provider, benchmark, pricing, or market context around this model.
According to OpenAI, the model was instructed to update a cryptocurrency trading application and deploy compatible smart contracts if an existing contract could not be found. However, the task did not provide a funded wallet to cover the transaction fees requi
OpenAI said the model, which was part of its GPT-5.6 Sol family, was given the task of updating a crypto trading prototype and deploying compatible contracts. After failing to obtain testnet ETH through faucets, the model derived accounts from publicly known d

A new benchmark called Taste-Bench tests how well AI agents make strategic choices during long-running tasks. Even the best model, GPT-5.6 Sol, picks the right path on just under 60 percent of simple binary questions. Thinking longer doesn't help.
Last cached leaderboard date: July 9, 2026. This model page is generated from the AskClash LLM Leaderboard cache and linked from the live leaderboard.