GPT-5.6 kernel of truth: Sol can cut its own costs, says OpenAI
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OpenAI detailed how its GPT-5.6 model family balances capability and cost, with the flagship Sol model outperforming Anthropic's Claude Fable 5 on a coding benchmark while using 54% fewer output tokens. The efficiency gains come from four layers of optimization: autonomous kernel rewrites that reduced serving costs by 20%, speculative decoding that improved token generation by over 15%, incremental tokenization via WebSockets that speeds up tool-heavy workflows by up to 40%, and an append-only agentic harness that reduces context bloat. These compounding improvements position efficiency alongside raw intelligence as a key axis of competition between frontier AI labs.
Why it matters
OpenAI has detailed, in a new engineering blog post, how the GPT-5.6 model family balances capability and cost across its The post GPT-5.6 kernel of truth: Sol can cut its own costs, says OpenAI appeared first on The New Stack.
