Zhipu AI: GLM-5.3-FlashX
glm-5.3-flashx- Input / Output
- $0.37 / $1.25
- Context
- 1M
- Max output
- 128K
- Modalities
- VisionChat
- Capabilities
- Tool usePrompt CacheReasoning
About GLM-5.3-FlashX
GLM-5.3-FlashX is the accelerated serving option of GLM-5.3-Flash from Z.ai, with the same multimodal inputs of video, images, text, and files, and text output. Z.ai quotes inference speeds of about 200 tokens per second. Pick it when response speed in coding and agent workflows matters more than lowest cost.
Where it works well
- Z.ai quotes about 200 tokens per second, which shortens waits in interactive coding and agent loops.
- Inputs match Flash: video, images, text, and files, so visual coding works at the faster speed.
- Thinking mode, streaming, function calling, and context caching stay available for agent use.
- Shares the Flash model line that Z.ai reports ahead of GLM-5.2 on DeepSWE v1.1.
When to choose another model
- Z.ai has not put FlashX into its GLM Coding Plan, which currently includes the standard Flash.
- Output is text only, and for the hardest tasks the GLM-5.3 flagship is the stronger option.
Getting started
Create API key
Create a key in Console, then use it with every model on the platform.
Send your first request
Copy the example for your language and run it against the endpoint.
Text to textResponses APIPOST/v1/responsesAPI format:curl https://api.tokenlab.sh/v1/responses \ -H "Content-Type: application/json" \ -H "Authorization: Bearer sk-xxx" \ -d '{ "model": "glm-5.3-flashx", "input": "Hello!" }'
Pricing
The Verified price applies to Verified, which costs less on most models. The Official price is the model maker's published price and applies to the more reliable Official route. Auto bills the route that completes the request.
Default spec
per 1M tokens- Official price
- Input $0.37 / Output $1.25 / Cache read $0.075
- Verified price
- —
- Discount
- —
Cache read
- Official price
- $0.075
- Verified price
- —
- Discount
- —
| Official priceper 1M tokens | Verified priceper 1M tokens | Discount | |
|---|---|---|---|
| Default spec | Input $0.37 / Output $1.25 / Cache read $0.075 | — | — |
| Prompt cache pricing | |||
| Cache read | $0.075 | — | — |
Usage & activity
Success rate is the share of requests that completed. Latency is how long a full response takes; P95 means 95% of requests finished within that time.
Usage & availability
Last 24 hours- Requests
- Success rate
- P95 latency
- Total tokens
Data is based on aggregate user requests, excluding status checks.
Open in Console
Open GLM-5.3-FlashX in Console with a prompt ready to edit or send.
Help me try glm-5.3-flashx with a short message at /v1/responses. Show the reply, latency, and cost.
Use cases
Best for- Vision
- Reasoning
Interactive coding assistants
Back an editor chat where a developer waits on each reply and latency decides how usable the tool feels.
Live screen understanding
Answer questions about screenshots in a support or QA tool without long pauses.
Fast agent loops
Shorten multi-step agent runs where each tool result needs a quick next decision.
Prompt examples
Look at this screenshot of the failing page and tell me the most likely broken component, in two sentences.
Rewrite this function to remove the nested loops, and give only the code.
Summarize the attached design file's navigation structure as a bullet outline.
This model has conditional pricing. Monthly token totals alone cannot produce a reliable estimate; use the detailed pricing for the request specification, cache, and applicable time window.
FAQ
What does the X in GLM-5.3-FlashX mean?
It marks the accelerated variant of GLM-5.3-Flash. Capabilities and modalities are the same; Z.ai documents the faster inference speed, about 200 tokens per second, as the difference.
Should I use FlashX or Flash?
Use FlashX when users wait on streaming replies, as in chat or interactive coding. Use Flash for background jobs and batch workloads where speed matters less than cost.
Does GLM-5.3-FlashX accept video?
Yes. Z.ai lists video, images, text, and files as inputs for the Flash family, FlashX included, and the answer comes back as text. Send a screen recording of a bug and ask for a reproduction.
Does it support thinking mode?
Yes, together with streaming, function calling, and context caching. Thinking helps on debugging and planning steps, while quick lookups can skip it to keep latency lower.
How much does GLM-5.3-FlashX cost?
On TokenLab, GLM-5.3-FlashX costs Input $0.37 / Output $1.25 per 1M tokens. The pricing table above shows the full breakdown. Rates depend on the billing unit, specification, and usage. Compare matching conditions in the model's detailed pricing; a single rate does not determine the total cost.
What are the context window and output limit of GLM-5.3-FlashX?
GLM-5.3-FlashX accepts up to 1,000,000 tokens of context and returns up to 128,000 tokens in one response.
Which endpoint should GLM-5.3-FlashX use?
Use https://api.tokenlab.sh/v1/responses for GLM-5.3-FlashX. The request example below shows the matching code shape.
Which operations does GLM-5.3-FlashX support?
GLM-5.3-FlashX supports Text to text. Select an operation above to see its endpoint and request example.
Compare GLM-5.3-FlashX
Sources
Reviewed Oct 2, 2026
