Solutions
Long context. Real applications.
A 1M-token context window is a single API parameter on our managed inference endpoints. Whole-codebase reasoning, multi-document analysis, and persistent agent memory — at the same hardware cost as conventional 8K serving.
What it costs
Long context, normal pricing.
Applications
What customers build with long context.
Whole-codebase reasoning
Repository-scale completion and analysis. Engineers point the model at a 600K-line monorepo and ask for the bug — the model has the whole answer in context.
Multi-document QA
Legal discovery, financial filings, medical record review. Hundreds of documents in a single prompt with citations back to source pages, not a RAG index.
Agent memory
Agents and assistants that retain a million tokens of conversation. Affordable enough to run continuously, accurate enough to use as the canonical memory layer.
Long-form generation
Book-length generation that maintains plot consistency across hundreds of pages. The model sees the whole story while it writes the next chapter.
Codebase migration
Whole-monorepo refactors and migrations. The model sees the call graph, the type system, and the tests in one prompt.
Compliance review
Audit a year of contracts, communications, or filings against a policy. The model produces a citation-backed report in one pass.
Long-context inference
Try a million-token prompt.
Free trial credits cover hundreds of long-context completions.