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Description
The GPT-5.2 Instant model represents a swift and efficient iteration within OpenAI's GPT-5.2 lineup, tailored for routine tasks and learning, showcasing notable advancements in responding to information-seeking inquiries, how-to guidance, technical documentation, and translation tasks compared to earlier models. This version builds upon the more engaging conversational style introduced in GPT-5.1 Instant, offering enhanced clarity in its explanations that prioritize essential details, thus facilitating quicker access to precise answers for users. With its enhanced speed and responsiveness, GPT-5.2 Instant is adept at performing common functions such as handling inquiries, creating summaries, supporting research efforts, and aiding in writing and editing tasks, while also integrating extensive enhancements from the broader GPT-5.2 series that improve reasoning abilities, manage longer contexts, and ensure factual accuracy. As a part of the GPT-5.2 family, it benefits from shared foundational improvements that elevate its overall reliability and performance for a diverse array of daily activities. Users can expect a more intuitive interaction experience and a significant reduction in the time spent searching for information.
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
API Access
Has API
Integrations
Bash
C++
CSS
Codex CLI
Go
HTML
Java
JavaScript
Kotlin
OpenAI Codex
Integrations
Bash
C++
CSS
Codex CLI
Go
HTML
Java
JavaScript
Kotlin
OpenAI Codex
Pricing Details
No price information available.
Free Trial
Free Version
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
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
OpenAI
Founded
2015
Country
United States
Website
openai.com
Vendor Details
Company Name
Meta
Founded
2004
Country
United States
Website
meta.ai