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.
智谱 Infra 是真的强啊,刚刚又推出了 GLM-5.3-FlashX,是此前 GLM-5.3-Flash 的高速版,官宣最高速度 200 tokens/s。 💰价格约为 Flash 的 2.5 倍:输入 $0.37 / 百万 Tokens,输出 $1.25 / 百万 Tokens,缓存命中 $0.075 /百万 Tokens。 https://t.co/r4NWfAXsYQ
https://pbs.twimg.com/media/HSesg4ob0AAH3r9.jpgView originallifcc ·
A community comparison of FlashX and Flash, also discussing Coding Plan availability.
GLM低调推出了GLM-5.3-FlashX,速度是FLash的5倍,价格是2.5倍,性能一样。 不支持Coding Plan调用。 https://t.co/LijpKa518B
https://pbs.twimg.com/media/HSe_6hObAAA8K5F.jpgView originalSigma ·
A community launch recap highlighting FlashX serving speed and infrastructure optimization.
刚刚智谱上线 GLM-5.3-FlashX,最高 200 tokens/s,速度直接提升到原版的 5倍。 此前 GLM-5.3-Flash 以 Ox Alpha 之名面向全球开发者,调用量持续攀升。 此次在 10 万张国产芯片推理算力基础上加大推理优化,进一步形成智能、价格、速度的全面竞争力。 https://t.co/h65EssRwes
https://pbs.twimg.com/media/HSevr2KaAAAu8-T.jpghttps://pbs.twimg.com/media/HSevwifa0AAv6Ci.jpgView originalReddit
GLM-5.3 FlashX is now live in Command Code.
maedahbatool ·
Command Code announces FlashX availability and describes its speed, context, and multimodal inputs. The offer concerns Command Code.
GLM-5.3 FlashX is now live in Command Code. High speed variant of GLM-5.3 Flash ~200 TPS with 1M context window Multimodal (text, image, video) Available across all plans and API. Try now with $10/mo GOAT plan: https://commandcode.ai/docs/plans/goat
https://commandcode.ai/docs/plans/goatView originalSingle DGX Spark running GLM-5.3 Flash at 60 tok/s
storknotfound ·
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 originalGLM 5.3 Flash vs DeepSeek V4.1 Flash on InferX
pmv143 ·
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
GLM 5 3 FlashX测评报告!究竟有多能打?#ai
AI产品狙击手 kzhu
A community evaluation of GLM-5.3-FlashX using the Pi tool.
View original200 tokens/s! GLM-5.3-FlashX 硬刚 DeepSeek,轻量模型卷速度 | 9月18日 AI日报
AI 风向标
An AI news video covering the FlashX launch and its advertised generation speed.
View originalGLM-5.3-Flash 实测:百万上下文降价后,私有化部署还有意义吗?
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