Developers who want an open coding model tuned on their own repo, cheaply; free weights, and it works with Claude Code.
Kenning's take
What it does
SERA (Soft-verified Efficient Repository Agents) is a family of open coding models from Ai2, from 8 billion to 32 billion parameters, built on Qwen 3. Ai2 also released the training method, which it says can match the previous best open-source result for about $400 of compute, so teams can tune a model on their own code. The models are on Hugging Face, with a SERA CLI on PyPI and a setup that works with Claude Code.
- Open models from 8B to 32B parameters, plus SERA-14B
- SERA-32B scores 54.2% on SWE-Bench Verified
- Low-cost training recipe for private codebases
- Works with Claude Code out of the box
- Open training datasets
Who it suits. Developers and research teams who want an open coding agent tuned to their own code.
Key facts
- Category
- AI models
- Made by
- Ai2 (Allen Institute for AI)
- Based in
- United States
- Released
- 27 January 2026
- How to get it
- download from Hugging Face; SERA CLI via PyPI (ai2-sera-cli) and GitHub
- Works on
- Hugging Face, CLI
- In the UK
- Yes
- Free plan
- free open weights
FAQ
When was SERA released?
Ai2 released SERA on 27 January 2026 and later added SERA-14B.
Is SERA free?
Yes, the models and training data are openly released; you pay for your own compute.
Does SERA work with Claude Code?
Ai2 says it is compatible with Claude Code out of the box and provides a setup script.
Facts from the maker's own pages and the sources listed. Checked 2026-10-11.
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