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Subquadratic vs Letronna®

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Subquadratic compared with Letronna®
DetailSubquadratic logo SubquadraticLetronna® logo Letronna®
What it doesEfficiency is Intelligence An AI agent with its own cloud and wallet
StageStartup Not given
FoundedNot given Not given
Based inUS US
Pricing modelPaid Not given
PricingFree 100M tokens for new users. $0.04 per 1M tokens for input tokens. Free: $0 forever with your own API keys. Pro: $20 per month with $20 of hosted credit a month (or $240 at once on yearly, save up to 17%). Team: $18 per seat, monthly, 2 to 5 people, with $18 of shared credit per seat monthly. Compute costs about $6 per GB a month from credit, charged by the second.
Key features
  • 384K token context window
  • Multimodal input support
  • 100K tokens processed in less than a second
  • Structured output for direct code use
  • Subquadratic Sparse Attention algorithm for efficient compute
  • $0.04 per 1M tokens pricing
  • Customer content not used for model training
  • Data retention limited to 60 days
  • Real files, real commands, web access, and browser beside the chat
  • Memory written to disk as plain text you can edit and delete
  • Auto mode with safe judgment on your own model
  • Delegate work to helper agents sharing a task list
  • Chat apps: Telegram, Discord and Slack integration
  • Support for MCP servers, plugins and IDE integration
  • Cloud tasks that keep running after you close the app
  • Services that stay online with scheduler, webhook and watcher
  • Web apps with their own live link at letronna.si
What makes it different
  • First long-context decision model purpose-built for enterprise work
  • Frontier-level decision-making performance at 5-10x lower cost than frontier LLMs
  • Tied for #1 on Artificial Analysis Decision Index
  • Processes entire codebase or data room in single context window
  • Speeds agent reasoning from minutes to seconds
  • Runs locally with your own keys; nothing leaves your machine unless you connect a hosted model
  • Starts in 7.65 ms with 84% on Harness-Bench
  • Plain text memory files you can edit, not a black box
  • Works with any model: OpenAI-compatible, Anthropic, Ollama, llama.cpp or hosted
  • Pay only for hosted models and cloud compute, not per seat
Community votes00
DR (Domain Rating by Ahrefs)53 +1 (up) since last check29 +9 (up) since last check
Trust Flow (Majestic)170
Citation Flow (Majestic)370
Referring domains (Majestic)6540

5 details filled in for both companies.

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