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About

Composer 2.5 is the latest AI coding model released by Cursor, offering major improvements in intelligence, collaboration, and long-task performance compared to Composer 2. The model is designed to follow complex instructions more accurately while providing a smoother and more natural user experience during coding sessions. Cursor enhanced Composer 2.5 through larger-scale training, more advanced reinforcement learning environments, and improved behavioral tuning focused on communication and effort calibration. The model uses targeted reinforcement learning with textual feedback to correct specific mistakes during training, helping it avoid issues like invalid tool calls or poor coding behavior. Composer 2.5 was also trained using significantly more synthetic coding tasks, enabling it to handle increasingly difficult programming challenges and real-world development scenarios.

About

GLM-5.3-Flash is Z.ai’s natively multimodal model in the GLM-5 series (previously previewed as Ox Alpha), designed to deliver strong coding, agentic, visual, and knowledge-work performance at relatively low inference cost. It uses 320 billion total parameters with 18 billion active parameters, along with a hybrid architecture that combines sparse and linear attention to reduce the cost of long-context processing. The model supports context lengths of up to one million tokens and was trained on a 30-trillion-token multimodal corpus. GLM-5.3-Flash can reason across text, images, documents, interfaces, dashboards, and other visual information while using that feedback to refine its own outputs. Z.ai reports substantial gains over GLM-5.2 on coding and agentic benchmarks, including DeepSWE and AutomationBench, while approaching higher-cost frontier models on several evaluations.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Software developers, engineering teams, AI researchers, and enterprise organizations looking for advanced AI-assisted coding and large-scale software development solutions

Audience

Developers, AI engineers, agent builders, researchers, and organizations that need cost-efficient multimodal reasoning, long-context processing, advanced coding, visual analysis, and autonomous workflow capabilities

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$0.50/M input
$0.50/M input and $2.50/M output tokens
Free Version
Free Trial

Pricing

$0.15 per 1M tokens (input)
Input: $0.15 per 1M tokens
Output: $0.50 per 1M tokens
Cached input: $0.03 per 1M tokens
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5

Pros & Cons from Real Users

Pros

  • Composer 2.5 feels like a very practical coding model because it is built for the place I actually use it: Cursor. It is fast, focused, and tuned for agentic coding work instead of trying to be a general-purpose chatbot that also happens to write code. The cost-performance balance is the biggest win. If a model can stay near the top of coding-agent rankings while being dramatically cheaper than heavier flagship models, that matters a lot for everyday development. I also like that it feels optimized for real Cursor workflows. It can help with multi-file edits, repo exploration, implementation, debugging, and agent-style tasks without making every run feel slow or expensive.

Cons

  • Composer 2.5 is still not the model I would blindly trust for every hard architecture decision or risky production change. I would still review diffs, run tests, and use stronger models when the task needs deeper reasoning. It is also tied closely to Cursor, which is great if you already live there, but less ideal if you want a model you can use everywhere with the same workflow.

Pros & Cons from Real Users

Pros

  • What makes it exciting is that it seems built for the exact workloads developers care about right now: long-horizon coding, complex reasoning, big-context analysis, and agentic workflows. A million-token context window is especially useful if you want to drop in a large repo, long spec, research corpus, or messy project history and have the model reason across it.

Cons

  • I would treat it as something exciting to test, not something to blindly trust with sensitive work. Even the independent Ox Alpha site warns that messages are processed by the upstream model API, so I would keep secrets, private code, and customer data out of it until there is a clearer owner, model card, privacy policy, and production story.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Cursor
Founded: 2022
United States
cursor.com

Company Information

Z.ai
Founded: 2019
China
z.ai

Alternatives

Claude Code

Claude Code

Anthropic

Alternatives

Grok 4.6

Grok 4.6

SpaceXAI
Grok 4.6

Grok 4.6

SpaceXAI
Claude Opus 5

Claude Opus 5

Anthropic
Claude Opus 5

Claude Opus 5

Anthropic
Claude Fable 5

Claude Fable 5

Anthropic
MiniMax M3

MiniMax M3

MiniMax
Composer 1

Composer 1

Cursor
Qwen3.5

Qwen3.5

Alibaba

Categories

Categories

Integrations

.NET
Claude Code
Cursor
Dart
DeepSeek Harness
GLM Coding Plan
HTML
Java
Kotlin
Kubernetes
OpenRouter
Python
Ruby
Rust
SQL
Scala
XML
YAML
Z.ai
omp

Integrations

.NET
Claude Code
Cursor
Dart
DeepSeek Harness
GLM Coding Plan
HTML
Java
Kotlin
Kubernetes
OpenRouter
Python
Ruby
Rust
SQL
Scala
XML
YAML
Z.ai
omp
Claim Composer 2.5 and update features and information
Claim Composer 2.5 and update features and information
Claim GLM-5.3-Flash and update features and information
Claim GLM-5.3-Flash and update features and information