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What is SWE-2 Flash?

SWE-2 Flash is an AI coding and software engineering model developed by Cognition to deliver high-speed programming capabilities with lower inference costs than larger frontier models. The model uses a 276-billion-parameter mixture-of-experts architecture with approximately 12 billion active parameters, based on Thinking Machines' Inkling-Small foundation model. Cognition enhances the underlying model through a dedicated mid-training process followed by large-scale reinforcement learning focused on software engineering and general reasoning tasks. Its training incorporates several trillion tokens of carefully selected technical material, including source code, scientific publications, articles, and other datasets relevant to complex problem-solving. SWE-2 Flash supports automated code generation, software maintenance, code reviews, feature development, documentation updates, and other tasks performed by autonomous development agents. The model is optimized for efficient inference and generates approximately 200 tokens per second, compared with approximately 60 tokens per second for the larger SWE-2 model. Cognition reports that SWE-2 Flash operates at one-fifth the cost of SWE-2 while maintaining competitive performance across several software engineering evaluations. Its published benchmark results include 24.0% on FrontierCode 2.0, 45.5% on FrontierCode 1.1 Main, 60.1% on DeepSWE 1.1, and 89.9% on SWE-Bench Pro v2 Hard. The model also demonstrates cybersecurity-related capabilities, achieving 34.8% on ExploitBench compared with 11.3% for its original foundation model. Developers can access SWE-2 Flash through Devin Desktop and CLI for interactive programming assistance and agent-driven engineering workflows. Cognition is developing a secure program for sharing model weights with approved industry partners and research organizations, potentially enabling fine-tuning and deployment on private or on-premises infrastructure.

What is Muse Spark Open?

Muse Spark Open is a large-scale open-weight artificial intelligence model developed by Meta for multimodal understanding, software engineering, autonomous agents, and long-horizon reasoning. Released in October 2026, the model provides downloadable weights that allow developers to deploy and customize it outside Meta's hosted AI services. It uses a mixture-of-experts architecture containing 816 billion total parameters, with approximately 42 billion parameters activated during inference. Its one-million-token context window supports processing extensive documents, large software repositories, and lengthy sequences of instructions and interactions. The model is designed for complex coding workflows involving source code analysis, debugging, feature implementation, application development, and software testing. Its multimodal capabilities enable AI agents to interpret visual information and combine that understanding with reasoning and automated computer interactions. Meta demonstrated the model performing local software development tasks and controlling DaVinci Resolve to analyze video footage and prepare edited content. Muse Spark Open supports on-device deployment using two Apple M5 Ultra Mac Studio computers running the MLX framework, with additional compatibility across AMD, Intel, and NVIDIA hardware. Supported inference frameworks include SGLang, vLLM, TensorRT-LLM, Hugging Face Transformers, llama.cpp, and Unsloth, with optimized GPU kernels for improved processing performance. Developers can customize the model using PyTorch and TorchTitan to adapt its behavior to specialized tasks, organizational requirements, and application workflows. Muse Spark Open is distributed under the Muse Model License with limited commercial terms and is available through Hugging Face, Amazon SageMaker AI, Google Cloud Model Garden, Microsoft Foundry Models, and several hosted API providers.

Media

Media

Integrations Supported

C#
C++
Cerebras
Dart
JavaScript
Kotlin
Kubernetes
MATLAB
PHP
PowerShell
Python
R
Ruby
Scala
TypeScript
YAML

Integrations Supported

Baseten
Groq
Together AI
vLLM

API Availability

API Availability

Pricing Information

$20/month
Free Version

Pricing Information

$0
Model weights are available at no charge under the Muse Model License, which has limited commercial-use terms. Hosted inference providers set their own usage prices.
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Cognition

Date Founded

2023

Company Location

United States

Company Website

cognition.com

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

research.meta.ai/blog/muse-spark-open

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

AI Receptionists

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

Open-Weight AI Models

Not specified

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