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Subquadratic
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Research-stage sub-quadratic LLM built for multi-million-token reasoning across full codebases and long agent histories.
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Pricing
No public pricing
Core features
- ✦Up to 12M-token context window
- ✦Sub-quadratic sparse-attention architecture (claimed ~1000x less attention compute at scale)
- ✦OpenAI-compatible API with streaming and tool use
- ✦Coding-agent plugin that offloads token-heavy context work
- ✦Benchmarked long-context retrieval and reasoning performance
Use cases
- →Reasoning across an entire code repository in one call
- →Maintaining long-running agent state without quality loss
- →Reducing compute cost for long-context AI applications
- →Speeding up coding agents on large codebases
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