Beam

Beam

Reflection
+
+

Related Products

  • LTX
    182 Ratings
    Visit Website
  • Cloverleaf
    189 Ratings
    Visit Website
  • Portfolio Manager
    3 Ratings
    Visit Website
  • Interfacing Integrated Management System (IMS)
    66 Ratings
    Visit Website
  • GWI
    201 Ratings
    Visit Website
  • InEight
    168 Ratings
    Visit Website
  • JetBrains Junie
    12 Ratings
    Visit Website
  • Runpod
    230 Ratings
    Visit Website
  • Fraud.net
    56 Ratings
    Visit Website
  • Dialpad Support
    1,600 Ratings
    Visit Website

About

Beam is Reflection’s first open-weight model, a sparse Mixture-of-Experts model with 501 billion total parameters and 23 billion active parameters, built for coding, reasoning, and agentic workloads. Its capabilities come from large-scale pretraining and reinforcement learning, including training on 23.8 trillion diverse, curated, high-quality tokens from the web, public sources, and proprietary licensed datasets. Beam was trained with a particular focus on coding and agentic performance and is designed to deliver competitive open-weight capabilities with efficient inference compute. It supports complex software engineering, terminal, STEM, web search, tool-use, and general knowledge tasks, with reinforcement learning designed to improve multi-step reasoning, tool use, and adaptation to environment feedback. Users can control the tradeoff between performance and token usage through a reasoning effort parameter.

About

Muse Spark 1.3 is an AI model with improved performance across agentic and coding tasks, designed to be smarter and more practical for real-world work. It sustains longer-horizon tasks by collaborating with users and managing multiple workflows in a single, long thread. Given an open-ended objective, it uses tools to build context across messy or conflicting sources, correct gaps in its plan, track what it has learned, and produce a final deliverable. It asks clarifying questions when prompts are ambiguous, requests help when stuck, and confirms before taking consequential actions. The model follows complex, long-form instructions more reliably, preserving detailed requirements across multi-step tasks without dropping constraints or drifting from the requested workflow. Improved multitasking allows it to map incoming prompts to the correct task even when users interrupt or redirect previous requests.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developers, AI researchers, and engineering teams requiring a tool to run coding, reasoning, tool-use, and agentic workloads with an efficient open-weight language model

Audience

Developers and professional users seeking an AI model for complex agentic workflows, long-running tasks, coding, and multi-step work requiring reliable instruction following

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

$1.25 per 1M tokens (input)
Input: $1.25 per 1M tokens
Output: $4.25 per 1M tokens
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5

Pros & Cons from Real Users

Pros

  • This feels like the version where Muse Spark becomes much more interesting for developers. The focus is not just “better chat,” but better coding, better agentic workflows, and more reliable long-running tasks. The biggest win is efficiency. Meta says Muse Spark 1.3 uses fewer tokens and fewer tool calls on coding tasks, which matters a lot if you are running agents repeatedly instead of asking one-off questions. I also like that it is available in both Muse Code and the Meta Model API. That gives developers a practical path whether they want a coding-agent experience or want to plug the model into their own workflows.

Cons

  • Have not found any downsides thus far. This model is a big leap for Meta

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Reflection
United States
reflection.ai/blog/introducing-beam

Company Information

Meta
Founded: 2004
United States
meta.ai/

Alternatives

GLM-5.3

GLM-5.3

Z.ai

Alternatives

Kimi K3

Kimi K3

Moonshot AI
Qwen3.8-Max

Qwen3.8-Max

Alibaba
Inkling

Inkling

Thinking Machines Lab
Qwen3.5

Qwen3.5

Alibaba

Categories

AI Models Supported

Categories

AI Coding Models Supported
AI Models Supported
Foundation Models Supported
Multimodal Models Supported

Integrations

C++ Not Supported
Cheaper Inference Not Supported
Claude Code Not Supported
Continue Not Supported
Facebook Messenger Not Supported
Go Not Supported
Hermes Agent Not Supported
Java Not Supported
Kubernetes Not Supported
Meta AI Not Supported
Model Context Protocol (MCP) Not Supported
Muse Video Not Supported
Objective-C Not Supported
Odysseus Not Supported
OpenCode Not Supported
R Not Supported
Ruby Not Supported
Solidity Not Supported
Vercel AI SDK Not Supported
WhatsApp Not Supported

Integrations

C++ Supported
Cheaper Inference Supported
Claude Code Supported
Continue Supported
Facebook Messenger Supported
Go Supported
Hermes Agent Supported
Java Supported
Kubernetes Supported
Meta AI Supported
Model Context Protocol (MCP) Supported
Muse Video Supported
Objective-C Supported
Odysseus Supported
OpenCode Supported
R Supported
Ruby Supported
Solidity Supported
Vercel AI SDK Supported
WhatsApp Supported
Claim Beam and update features and information
Claim Beam and update features and information
Claim Muse Spark 1.3 and update features and information
Claim Muse Spark 1.3 and update features and information