Laying out the streets…STEP 1 OF 3

Flint · Office #48,973

Flint

In the Working with AI coding agents neighborhood (AI and agents). In town since 23 Oct 2026.

Nobody has claimed this office yet. Tablif records every new product and gives it an office; when its owner claims it, the lights go on.

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What Tablif read on Flint's site

Flint describes itself as: “Introducing Flint - Recursive”

What it is

Calls itself “mixture-of-experts (MoE) model”.

  • Calls itself: mixture-of-experts (MoE) model
“…mixture-of-experts (MoE) model”

Where it puts itself

Claims “best-performing”.

  • Superlative claim: best-performing
“Flint leads MoE models with fewer than 50 billion total parameters on agentic coding benchmarks”
“Flint is the best-performing MoE model with fewer than 50 billion total parameters”

What it costs

No free plan.

  • Free plan: no
“Flint’s weights are available on Hugging Face under the Apache 2.0 license.”

Who it sells to

Sells to developers.

  • Sells to: developers
“Use Flint as your daily coding model for tasks you want to run locally”

How it runs

A desktop app for Apple Silicon and NVIDIA. Runs locally and works offline. Distributed through the Hugging Face. AI is the core of the product. Built with Framer.

  • Kind: desktop
  • Runs on: Apple Silicon · NVIDIA
  • Runs where: on the device, offline
  • Distributed via: Hugging Face
  • AI role: core to the product
  • Built with: Framer
“Download the model, run it locally”
“…on Apple Silicon and NVIDIA RTX Spark”

What it works with

Names Eureka Machine, LM Studio and 5 more on its pages.

  • Names: Eureka Machine · LM Studio · Ollama · +4
“Building Flint was a practical test of Recursive’s Eureka Machine, our system for large-scale automated AI research and development.”
“Introducing Flint, a fast, intelligent model for coding locally on your laptop”

What it offers as proof

Live, no waitlist. Funding: “$4 Billion”. Publishes docs and a careers page.

  • Funding: $4 Billion
“Flint’s weights are available on Hugging Face under the Apache 2.0 license. Download the model, run it locally with your data kept on your device, and adapt it for your own applications.”
“Notable Researchers Join $4 Billion Effort to Build Self-Improving A.I.”

Sources

Tablif read these pages, last on 23 Oct 2026. Everything above is what the product says about itself; Tablif does not verify every claim.

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