AI

Trained in the Birdhouse.
Sized to the job.

Robin, Heron and Raven: three models built to execute, made to operate with Birdhouse OS.

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The flock

Three models, one family

Our smallest model

Robinv0.6

Quick, light, everywhere.

Built for the high volume, low latency decisions that make up most of an agent's day. Small enough to run close to your data, cheap enough to call on every event.

Best for

  • Classification and routing
  • Extraction from documents
  • On-device and edge work

Our general execution model

Heronv0.6

Patient and precise.

The everyday workhorse. It writes and reviews code, drafts and summarises, and follows a structured task through several steps, without the cost of reaching for the largest model.

Best for

  • Writing and reviewing code
  • Drafting and summarising
  • Most agent workflow steps

Our smartest model

Ravenv0.6

The one that works it out.

For the hardest work: writing complex code, finding complex security vulnerabilities, and multi-step problems where getting it right matters more than getting it fast.

Best for

  • Complex coding tasks
  • Finding security vulnerabilities
  • Reasoning and planning

Benchmarks

The flock, by the numbers

How each model scores across the work it does.

Benchmark (SWE-bench)Heron v0.6
Coding
87.0
Reasoning
68.2
Tool use
79.6
Long context
84.1
Task Execution
89.1

How they work together

The smallest model that can do it

Birdhouse OS sends each task to the lightest model able to handle it, and moves up the family only when the work calls for it. Most of the load lands on Robin and Heron, Raven takes the hard problems, and a third party model is the last resort rather than the default.