Average Ratings 1 Rating

Total
ease

Average Ratings 1 Rating

Total
ease
features
design

Description

Mistral Large 4 serves as a versatile multimodal language model, accessible via Mistral’s hosted inference API. It integrates capabilities for instruction adherence, reasoning, and agent-like functions, allowing it to process both images and text simultaneously. This model is designed for developers to facilitate various tasks such as chat completions, structured data outputs, executing functions, answering questions from documents, and enhancing tool-assisted workflows. Its range of applications spans conversational AI, software development assistance, cybersecurity evaluations, financial and legal processes, scientific inquiry, data extraction, and the interpretation of various document types, including charts and images. Aimed at developers, researchers, and organizations within the public sector, Mistral Large 4 is tailored for creating AI-driven applications across numerous fields, including engineering, manufacturing, finance, logistics, and scientific research. Furthermore, its adaptability makes it suitable for both small startups and large enterprises looking to leverage AI technologies effectively.

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.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Claude Agent SDK No 
Claude Code No 
Codex CLI No 
Facebook Messenger No 
Gray Swan No 
HTML No 
JavaScript No 
Kotlin No 
LangChain No 
Lua No 
Meta Model API No 
Mistral Vibe Yes 
Model Context Protocol (MCP) No 
Muse Code No 
Muse Spark No 
OpenAI Agents SDK No 
OpenClaw No 
PHP No 
Python No 
TypeScript No 

Integrations

Claude Agent SDK Yes 
Claude Code Yes 
Codex CLI Yes 
Facebook Messenger Yes 
Gray Swan Yes 
HTML Yes 
JavaScript Yes 
Kotlin Yes 
LangChain Yes 
Lua Yes 
Meta Model API Yes 
Mistral Vibe No 
Model Context Protocol (MCP) Yes 
Muse Code Yes 
Muse Spark Yes 
OpenAI Agents SDK Yes 
OpenClaw Yes 
PHP Yes 
Python Yes 
TypeScript Yes 

Pricing Details

$1.36 per 1M input tokens
Input: $1.36 per 1 million tokens
Output: $4.18 per 1 million tokens
Free Trial No 
Free Version Yes 

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 Yes 
Free Version No 

Deployment

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

Deployment

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

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Mistral AI

Founded

2023

Country

France

Website

docs.mistral.ai/models/mistral-large-4-0

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

meta.ai

Alternatives

GPT-6 Astra Reviews

GPT-6 Astra

OpenAI

Alternatives

Claude Opus 5.5 Reviews

Claude Opus 5.5

Anthropic
GPT-5.6 Sol Reviews

GPT-5.6 Sol

OpenAI