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Description

OpenAI has introduced GPT-Realtime-2, a voice model designed for dynamic live interactions that allows for seamless conversation flow while it processes requests, utilizes tools, addresses corrections, or manages interruptions, all while providing timely and relevant responses. This model is specifically crafted for a new generation of voice applications that aim to deliver a more intuitive user experience, respond with greater intelligence, and perform actions instantly. By incorporating GPT-5-level reasoning capabilities into voice interactions, GPT-Realtime-2 enhances agents' abilities to comprehend user intent, maintain context, adapt to changing requests, and utilize tools without disrupting the conversation. Developers have the option to implement brief preambles, such as “let me check that,” to inform users that the agent is currently processing their inquiry, and the model is capable of simultaneously engaging multiple tools while making its actions clear through phrases like “checking your calendar” or “looking that up now.” Additionally, it boasts improved recovery mechanisms, extended context for agent-driven tasks, and enhanced retention of specific terminology, contributing to a more effective communication experience. Overall, GPT-Realtime-2 is set to redefine how voice interactions are experienced, paving the way for smoother and more efficient user-agent dialogues.

Description

Muse Spark 1.1 is Meta’s upgraded multimodal reasoning model designed to support advanced agentic workflows, coding tasks, computer use, and complex tool orchestration. Developed by Meta Superintelligence Labs, it builds on Muse Spark with major gains in planning, tool use, long-context reasoning, multimodal perception, and real-world task execution. The model can work across external apps and services, native tools, MCP servers, custom skills, browsers, scripts, images, video, PDFs, and audio inputs. Muse Spark 1.1 can act as a main agent by gathering context, creating a plan, and delegating work to parallel subagents, or operate as a subagent that follows instructions and escalates when needed. Its 1 million token context window allows it to retain earlier actions, retrieve information from long workflows, and compact context while preserving critical details. The model is also trained for computer-use tasks, deciding when to automate with scripts and when to interact directly with an interface. In coding workflows, Muse Spark 1.1 can diagnose bugs, implement features, migrate large codebases, generate web applications, take screenshots, identify UI issues, and validate fixes. Its multimodal strengths include visual-to-code generation, detailed image and video captioning, grounded perception, and workflows where seeing, reasoning, and acting happen together. Available through the Meta Model API public preview and in Thinking mode inside Meta AI, Muse Spark 1.1 gives developers and users a more capable foundation for building agents, automations, coding assistants, and multimodal productivity tools.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

CSS No 
Codex CLI No 
Continue No 
Dart No 
Go No 
HTML No 
Hermes Agent No 
Java No 
JavaScript No 
Kotlin No 
LangChain No 
Muse Image No 
Muse Spark No 
Objective-C No 
OnSolo Yes 
OpenCode No 
PHP No 
PowerShell No 
R No 
Swift No 

Integrations

CSS Yes 
Codex CLI Yes 
Continue Yes 
Dart Yes 
Go Yes 
HTML Yes 
Hermes Agent Yes 
Java Yes 
JavaScript Yes 
Kotlin Yes 
LangChain Yes 
Muse Image Yes 
Muse Spark Yes 
Objective-C Yes 
OnSolo No 
OpenCode Yes 
PHP Yes 
PowerShell Yes 
R Yes 
Swift Yes 

Pricing Details

$32 per 1M tokens
$32 / 1M audio input tokens ($0.40 for cached input tokens) and $64 / 1M audio output tokens
Free Trial Yes 
Free Version No 

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 Yes 

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

OpenAI

Founded

2015

Country

United States

Website

openai.com/index/advancing-voice-intelligence-with-new-models-in-the-api/

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

meta.ai

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