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Recursive launches Flint MoE model for coding agents

Recursive has released Flint, a mixture-of-experts (MoE) language model specifically designed for coding agents. With 39.8 billion total parameters and approximately 2.5 billion active parameters per token, Flint is optimized for fast, agentic coding tasks on local hardware. The model was developed from scratch in under four months by a small team. AI

IMPACT Enables faster, more efficient coding agent operations on local hardware.

RANK_REASON Frontier-lab model release with system card [lever_c_demoted from frontier_release: ic=2 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Recursive launches Flint MoE model for coding agents

How we ranked this

Signal score
20 / 100
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Newsworthiness bucket
Significant
Frontier-lab model release with system card [lever_c_demoted from frontier_release: ic=2 ai=1.0]
Source corroboration
2 independent sources
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Topics
model release, product
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High
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Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [2]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    RecursiveSI/flint · Hugging Face "Flint is Recursive’s mixture-of-experts language model for coding agents, with 39.8 billion total parameters and approximately

    RecursiveSI/flint · Hugging Face "Flint is Recursive’s mixture-of-experts language model for coding agents, with 39.8 billion total parameters and approximately 2.5 billion active per token. It is designed to investigate codebases, fix bugs, implement features, and write tests." …

  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Introducing Flint - Recursive "We’re introducing Recursive Flint, a mixture-of-experts (MoE) model built for fast agentic coding on local hardware. Flint has 40

    Introducing Flint - Recursive "We’re introducing Recursive Flint, a mixture-of-experts (MoE) model built for fast agentic coding on local hardware. Flint has 40 billion total parameters and activates just 2.5 billion per token. Our small team of people and agents built it from sc…