Z.ai
GLM-5.3-Flash
Total Context
1M
Max Output
131.1K
Released
N/A
glm-5.3-flashxGLM-5.3-FlashX is a high-speed multimodal model from Z.ai, designed for fast, responsive inference while retaining the core capabilities of GLM-5.3-Flash. It supports text, image, video, and file inputs, with a context window of up to 1 million tokens. The model performs well across coding, agentic workflows, visual understanding, long-context tasks, and complex reasoning, making it a strong choice for real-time AI applications that require both speed and intelligence.
Context Window
1M tokens
Maximum Output
131.1K tokens
Release Date
Sep 18, 2026
Modalities
| Input Price | Output Price | Cache Read |
|---|---|---|
| $0.2857/M | $1/M | $0.0814/M |
Reasoning
Tool calling
Temperature parameter
Attachments
Knowledge Base
Endpoint Protocols
Faster inference, native visual understanding, and extensive context.
The provider advertises inference speeds up to 200 tokens/s for this accelerated Flash variant; actual throughput depends on serving conditions.
Combines text, image, video, and file understanding with coding workflows, using visual feedback to inspect and refine generated results.
Official specifications list a 1M-token context window and up to 128K output tokens, supporting extensive source material and detailed responses.
Practical workflows grounded in the provider’s documented capabilities.
Turn visual references into interfaces, then use screenshots and browser feedback to refine layout and interaction through connected development tools.
Organize source material into reports, presentations, and spreadsheets, using external tools to create files and visual feedback to review their presentation.
Analyze video material, identify relevant segments, and prepare summaries or editing instructions for execution by connected media tools.
import OpenAI from "openai"
const client = new OpenAI({
apiKey: process.env.TOKENHUB_API_KEY,
baseURL: "https://us-api.tokenhub.com/v1",
})
const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)Capabilities, tradeoffs, availability, and integration guidance.
It is Z.ai’s accelerated serving variant of GLM-5.3-Flash, combining native multimodal understanding with coding and agent capabilities. Its output modality is text.
Consider it for visual frontend development, document production, and video analysis. Native visual understanding and a 1M-token context help combine source material with iterative feedback.
The official API requires thinking to remain enabled. Advertised speed is not a latency guarantee. Creating files or operating software requires connected tools, and generated results still need review.
Check that your TokenHub account offers this model, then use the model identifier, endpoint, and API key shown by TokenHub. The provider’s identifier is glm-5.3-flashx; TokenHub routing and supported inputs should be confirmed separately.
As verified on September 20, 2026, BigModel documentation states that FlashX is not yet included in GLM Coding Plan. API access is documented separately. Check TokenHub for its own availability and current rates.
Choose it when faster generation materially improves interactive coding or repeated agent steps. Compare actual completion time, output quality, and current provider charges on representative workloads before choosing.
Use one API key to access GLM-5.3-FlashX and more AI models through TokenHub.
GLM-5.3-FlashX Media and Demos
Verified public posts and videos, including explicitly labeled Flash-family material. Community claims are not official benchmarks.
X (Twitter)
FeiZ ·
A community post discussing FlashX’s launch, advertised speed, and pricing relative to Flash.
View originallifcc ·
A community comparison of FlashX and Flash, also discussing Coding Plan availability.
View originalSigma ·
A community launch recap highlighting FlashX serving speed and infrastructure optimization.
View originalReddit
maedahbatool
Command Code announces FlashX availability and describes its speed, context, and multimodal inputs. The offer concerns Command Code.
View originalstorknotfound
Flash-family background: a community report on quantized GLM-5.3-Flash running on a DGX Spark. These local measurements do not characterize FlashX API performance.
View originalpmv143
Flash-family background: InferX shares usage observations comparing GLM-5.3-Flash with DeepSeek V4.1 Flash. This is provider-specific activity, not a FlashX quality benchmark.
View originalYouTube
AI产品狙击手 kzhu
A community evaluation of GLM-5.3-FlashX using the Pi tool.
View originalAI 风向标
An AI news video covering the FlashX launch and its advertised generation speed.
View original智用AI
Flash-family background: a discussion of GLM-5.3-Flash architecture, context, and local deployment. This is not a FlashX API benchmark.
View original