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Coding

Code generation, review and agentic engineering. From autocomplete to autonomous engineering: models tuned for repositories, diffs and tool loops. Reach for a coding model when the work touches a repository rather than a paragraph. Agent-grade use leans hardest on , and is what keeps re-sent context affordable.

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What to look for

What to look for in Coding

  1. 01

    Agentic vs completion

    Agent-grade coding needs strong tool calling and long context. Simple completion tasks can use far cheaper models.

  2. 02

    Benchmark on your stack

    Coding scores vary sharply by language and framework. A model great at Python may lag on your Rust codebase.

  3. 03

    Mind the context economics

    Repository-scale prompts are token-heavy. Caching support can cut effective input cost dramatically.