GLM-5.3-Flash Description

GLM-5.3-Flash is a multimodal foundation model from Z.ai built for high-efficiency reasoning, coding, agents, and visual understanding. The model contains 320 billion parameters in total but activates only 18 billion parameters during inference, helping reduce compute requirements. Its architecture combines linear attention with sparse attention so it can efficiently handle both local dependencies and relevant information spread across very long contexts. Z.ai also introduced IndexPool to reduce the memory and latency overhead associated with long-context retrieval at context lengths reaching one million tokens. The model was pretrained on a 30-trillion-token multimodal dataset that incorporates both textual and visual information. GLM-5.3-Flash is designed for software engineering tasks, autonomous workflows, frontend development, computer use, document analysis, and other professional workloads that benefit from visual reasoning. Its visual coding capabilities allow it to inspect rendered interfaces, identify layout or interaction problems, and use those observations to revise its work. Benchmark results published by Z.ai show that it improves substantially over GLM-5.2 on multiple coding and agentic tests while remaining competitive with more expensive frontier models. GLM-5.3-Flash can be accessed through Z.ai services and is also available as downloadable model weights for deployment through supported open inference frameworks.

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Pricing

Pricing Starts At:
$0.15 per 1M tokens (input)
Pricing Information:
Input: $0.15 per 1M tokens
Output: $0.50 per 1M tokens
Cached input: $0.03 per 1M tokens

Integrations

API:
Yes, GLM-5.3-Flash has an API
View Integrations

Company Details

Company:
Z.ai
Year Founded:
2019
Headquarters:
China
Website:
z.ai

Media

GLM-5.3-Flash Screenshot 1
GLM-5.3-Flash Screenshot 1
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Product Details

Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support

GLM-5.3-Flash Features and Options

GLM-5.3-Flash User Reviews

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    GPT-5.3-Flash Review

    Date: Aug 24 2026

    Summary: Updating my review now that Ox Alpha was revealed to be GPT-5.3-Flash. GPT-5.3-Flash feels like one of the more interesting stealth model launches because it combines huge context, strong developer buzz, and serious agentic-coding positioning. If the eventual creator backs up the early hype with transparency, reliability, and clear commercial terms, this could become a major model for developers and AI power users.

    Positive: 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.

    Negative: I would treat it as something exciting to test, not something to blindly trust with sensitive work.

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