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Description

Beam represents Reflection’s inaugural open-weight model, characterized as a sparse Mixture-of-Experts framework featuring a staggering 501 billion parameters, of which 23 billion are actively utilized, specifically crafted for tasks involving coding, reasoning, and agentic functions. Its prowess is derived from extensive pretraining and reinforcement learning, having been developed using a vast dataset of 23.8 trillion diverse, high-quality tokens sourced from the web, public domains, and proprietary licensed materials. With a targeted emphasis on enhancing coding and agentic capabilities, Beam is engineered to provide competitive open-weight performance while ensuring efficient inference compute. This model adeptly handles a wide array of tasks, including intricate software engineering, terminal operations, STEM activities, web searches, tool utilization, and general knowledge inquiries. Reinforcement learning techniques have been employed to bolster its abilities in multi-step reasoning, tool application, and responsiveness to environmental feedback. Moreover, users have the flexibility to manage the balance between efficiency and performance through an adjustable reasoning effort parameter, thus tailoring the model's output to better suit their specific needs.

Description

Recursive Flint is an advanced language model featuring 40 billion parameters, designed as a mixture-of-experts specifically for coding tasks executed locally. It engages around 2.5 billion parameters for each token processed, enabling sophisticated reasoning, multi-turn tool utilization, and accommodating context windows as extensive as 512,000 tokens. Developers can leverage Flint within coding agents to analyze codebases, rectify bugs, develop new features, and create tests while executing inference directly on their own hardware. The model's weights are made available under the Apache 2.0 license, promoting accessibility. Flint is compatible with various platforms such as llama.cpp, Ollama, Unsloth, LM Studio, vLLM, and SGLang; additionally, Recursive offers rec, an inference engine that is specifically optimized for use with Apple Silicon M4 Pro and M5 Pro/Max chips. Comprehensive setup documentation and practical examples are provided to assist developers in executing the model on local machines. Flint serves as a valuable tool for developers and technical teams aiming to effectively run and customize a code-centric model tailored to their specific system requirements. This innovative approach empowers users to enhance their coding capabilities and streamline development processes more efficiently than ever before.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

LM Studio No 
Ollama No 
OpenRouter No 
Unsloth No 
vLLM No 

Integrations

LM Studio Yes 
Ollama Yes 
OpenRouter Yes 
Unsloth Yes 
vLLM Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Reflection

Country

United States

Website

reflection.ai/blog/introducing-beam

Vendor Details

Company Name

Recursive

Founded

2026

Country

United States

Website

recursive.com/updates/introducing-recursive-flint

Alternatives

Alternatives

No Alternatives
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