Average Ratings 1 Rating

Total
ease
features
design

Average Ratings 1 Rating

Total
ease
features
design
support

Description

Muse Spark 1.2 is Meta’s newest coding-focused model, released alongside Muse Code as part of Meta’s AI developer platform. The model improves on Muse Spark 1.1 with stronger code generation, complex debugging, codebase understanding, and full developer workflow performance. Muse Spark 1.2 powers Muse Code, a terminal coding agent that can plan changes, write code, validate results, and coordinate persistent background subagents. The model was co-trained with Muse Code so it performs well inside the agentic coding runtime and tool environment. Its training included scaled coding compute, broader training environment diversity, rejection-sampled harness trajectories, recipe optimizations, and Muse Code toolset integration. Muse Spark 1.2 is designed for long-horizon coding tasks such as whole-repository generation, large end-to-end projects, auto-research, and extended optimization work. It uses planning to sequence work, goal conditioning to stay aligned with the user’s objective, and context compaction to preserve useful knowledge over long sessions. The model also benefits from a self-improvement loop where Muse Spark 1.1 generated challenging coding environments and instruction-following templates for training. By combining coding specialization, agentic workflow support, long-horizon training, subagent compatibility, and Meta Model API availability, Muse Spark 1.2 helps developers build, debug, and optimize software more effectively.

Description

Qwen3.8-Max is a frontier AI model from the Qwen family designed for advanced coding, coworking, research, multimodal reasoning, and long-horizon autonomous tasks. It is described as Qwen’s most capable model to date and the first Qwen-Max-class model with open weights announced for release. The model scales to 2.4 trillion parameters with 95 billion active parameters and is accessible through QwenCloud. Qwen3.8-Max is built to answer difficult questions and complete complex deliverables from start to finish. Its coding capabilities include autonomous project creation, self-testing, issue dispatch, CI validation, pull request workflows, and long-running feedback loops. The model is also designed for real-world work across legal review, UI/UX design, restaurant operations, structural engineering, rehabilitation visualization, sports analytics, and quantitative research. Its multimodal capabilities support images, documents, videos, interface reconstruction, visual production, application recreation, and visual feedback loops. QwenCloud supports industry-standard API protocols, including OpenAI-compatible chat completions and responses APIs as well as an Anthropic-compatible interface. By combining large-scale reasoning, agentic coding, multimodal intelligence, API access, long-context workflows, and open-weight availability, Qwen3.8-Max gives teams a powerful foundation for building advanced AI systems.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Hermes Agent
Model Context Protocol (MCP)
Odysseus
OpenClaw
Python
Gray Swan
Hugging Face
Kotlin
LangChain
Meta Model API
Muse Code
OfoxAI
OpenAI Agents SDK
OpenAI Codex
OpenCode
Qwen
QwenCloud
QwenWork
Rust
YAML

Integrations

Hermes Agent
Model Context Protocol (MCP)
Odysseus
OpenClaw
Python
Gray Swan
Hugging Face
Kotlin
LangChain
Meta Model API
Muse Code
OfoxAI
OpenAI Agents SDK
OpenAI Codex
OpenCode
Qwen
QwenCloud
QwenWork
Rust
YAML

Pricing Details

$1.25 per 1M tokens (input)
$1.25 per million tokens in input, and $4.25 per million tokens of output
Free Trial
Free Version

Pricing Details

$2 per 1M (input)
$2 per 1 million tokens (input), $6 per 1 million tokens (output)
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

meta.ai

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

qwen.ai

Alternatives

Claude Fable 5 Reviews

Claude Fable 5

Anthropic

Alternatives

Claude Fable 5 Reviews

Claude Fable 5

Anthropic
Claude Opus 5 Reviews

Claude Opus 5

Anthropic
Claude Opus 5 Reviews

Claude Opus 5

Anthropic
Claude Mythos 5 Reviews

Claude Mythos 5

Anthropic
Qwen3.8-27B Reviews

Qwen3.8-27B

Alibaba
Claude Mythos 5 Reviews

Claude Mythos 5

Anthropic