According to reported announcements, Recursive has released Flint, an open-weight 40B Mixture of Experts (MoE) local coding model built specifically for agents, featuring 2.5B active parameters. Analysis of this architecture suggests it is designed to deliver high coding capability while maintaining efficient inference performance via its sparse active parameter footprint. Per reported facts, no hands-on testing has been conducted by our editorial team.
Recursive Releases Flint: An Open-Weight 40B MoE Local Coding Model for Agents
Research sources
A Coding Guide to Cactus Whistle: Does a 16.9 MB Speech Model Hold Up Against Whisper Base? Word Error Rate, Speed, Streaming, Timestamps, Keywords, and Speech-to-Tool Calls on a CPU ↗NVIDIA Nsight Python Tutorial: How to Profile GPU Kernels ↗Recursive Releases Flint, an Open-Weight 40B MoE Local Coding Model for Agents with 2.5B Active Params ↗Vercel Open-Sources durable-harness for Crash-Proof Coding Agents ↗Mistral AI Releases Voxtral 3: Speech-to-Text, TTS and a Voice Agent SDK ↗Google Cloud Ships llm-d 1.0 With Cache-Aware Routing for TPU and GPU Fleets ↗Google Open-Sources TorchTPU, a Native PyTorch Backend for Cloud TPUs ↗DeepSeek Open-Sources DeepInfer, the Inference Framework Behind DeepSeek-V4.1-Flash ↗Exa 3.0 Search API Tops Perplexity, Brave and Parallel on 8 Benchmarks ↗Cloudflare Releases Clairic, a System One Extraction Model on Workers AI ↗NVIDIA Kumo Relational Outperforms Supervised Machine Learning on Relational Data, No Training Required ↗How Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications ↗Profiling TorchNeuron (Part 1): System-level profiling on AWS Trainium. ↗Granite Speech 5.0: Transcribe, Translate, and Attribute more Accurately and Faster ↗FairStress: A deeper evaluation of fairness in LLM decision-making ↗ALTK-Evolve: How learned memory tops the τ²-bench leaderboard on customer service tasks without a frontier model ↗Hugging Face ❤️ TorchTPU: TPUs, Natively ↗AnyLanguageModel 1.0: One Year of Local Models on Apple Platforms ↗