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Mirendil Launches Fern 0.1, Its First Model, With 10M-Token Context

Mirendil released Fern 0.1, its first model, pretrained from scratch with a 10M-token context window. It targets agentic AI R&D work, scores 100% on RULER single needle at 10M, but trails frontier models on agentic coding.

SourceMarkTechPostAuthor: Michal Sutter
Mirendil Launches Fern 0.1, Its First Model, With 10M-Token Context
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Key points

  • Supports up to 10M tokens of context, roughly 23 MB of code or about half a million lines
  • Achieves 100% on RULER single-needle retrieval from 32K to 10M tokens, though multi-hop QA falls to 45% at 10M
  • Agentic coding lags: 6.1% on Terminal Bench 4.0 versus 66.4% for Claude Opus 5.5
  • The base model was pretrained by one researcher with AI agents in 3.5 months for under $10M in total compute

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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