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Naive-N0.5-Flash, an open-weights coding model, claims 2,100 tokens per second, and an early hands-on review says its code holds up against DeepSeek. If that holds, agent builders can choose speed without giving up much quality.
Coding agents now write accurate, exhaustive pull request descriptions. The reading cost lands on you. The fix is a layout rule in your agent setup, and it carries one real risk you need to guard against.
OpenAI priced GPT-6.1 Sol at $2/$10 per million tokens against Astra's $10/$50, while claiming wins on agentic benchmarks. The price is the story: a volume-first bet on agent workloads that should change how you budget reasoning-heavy tasks.
OpenAI hit 10M users in two weeks not by making a better code generator, but by turning code into a work interface for people who never write it. That is a category shift, not a product update.
GPT 5.6 ships in three sizes and Codex folds into ChatGPT. Read together, the two moves signal a shift from selling models to selling agent infrastructure, and the distinction matters for anyone running agents daily.
OpenAI's internal data shows Codex token usage exploded hardest in Research, Customer Support, and Legal, not Engineering. The real productivity shift inside the lab is autonomous knowledge work, not code generation.
