Average Ratings 1 Rating

Total
ease
features

Average Ratings 1 Rating

Total
ease
features
design
support

Description

Cursor has introduced Composer 2.5, a next-generation AI coding assistant built to deliver stronger reasoning, better collaboration, and improved reliability during software development tasks. The upgraded model performs better on long-running coding workflows and can manage complicated instructions with greater consistency than earlier Composer versions. Cursor expanded the training process by scaling compute resources, generating more advanced reinforcement learning environments, and refining behavioral traits that improve the developer experience. One of the key innovations in Composer 2.5 is its targeted textual feedback system, which helps the model learn from localized mistakes inside long coding trajectories instead of relying only on broad reward signals. This training method allows the AI to improve coding style, communication quality, and tool usage accuracy in a more focused way. The company also increased the amount of synthetic coding data by 25 times compared to Composer 2, giving the model exposure to more difficult and realistic programming tasks. During development, the system demonstrated sophisticated reasoning abilities by uncovering hidden implementation details and reverse-engineering deleted functionality inside synthetic environments. Composer 2.5 additionally uses advanced distributed training methods such as Sharded Muon and dual mesh HSDP to optimize large-scale model training performance. Available directly inside Cursor, the model comes in both standard and fast variants with different pricing tiers designed for developers, teams, and enterprise-scale engineering workflows.

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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

.NET Yes 
Bash Yes 
C# Yes 
C++ Yes 
CSS Yes 
Dart Yes 
Go Yes 
Java Yes 
JavaScript Yes 
Kotlin Yes 
Kubernetes Yes 
Lua Yes 
Objective-C Yes 
PHP Yes 
Rust Yes 
SQL Yes 
Scala Yes 
Solidity Yes 
TypeScript Yes 
XML Yes 

Integrations

.NET Yes 
Bash Yes 
C# Yes 
C++ Yes 
CSS Yes 
Dart Yes 
Go Yes 
Java Yes 
JavaScript Yes 
Kotlin Yes 
Kubernetes Yes 
Lua Yes 
Objective-C Yes 
PHP Yes 
Rust Yes 
SQL Yes 
Scala Yes 
Solidity Yes 
TypeScript Yes 
XML Yes 

Pricing Details

$0.50/M input
$0.50/M input and $2.50/M output 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 Yes 
Mac Yes 
Linux Yes 
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

Cursor

Founded

2022

Country

United States

Website

cursor.com

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

meta.ai

Product Features

Alternatives

Alternatives

Grok 4.6 Reviews

Grok 4.6

SpaceXAI
Claude Code Reviews

Claude Code

Anthropic
GPT-5.6 Sol Reviews

GPT-5.6 Sol

OpenAI
Claude Opus 5 Reviews

Claude Opus 5

Anthropic