1M
text, image, video
text
Supported
About this model
GLM-5.3-FlashX is Z.AI's high-speed serving variant of GLM-5.3-Flash, designed for responsive coding, multimodal understanding, long-horizon agentic workflows, tool use, and long-context processing. It is built on the GLM-5.3-Flash foundation with 320B total parameters and 18B active parameters, using a hybrid architecture that combines sparse and linear attention for efficient long-context inference. FlashX supports a 1M-token context window, reasoning, function calling, and native multimodal understanding while prioritizing accelerated inference with generation speeds of up to 200 tokens per second.
Explore the GLM-5.3 content hub
Input modalities
text
Accepted as model input
image
Accepted as model input
video
Accepted as model input
Providers
Available routing options for this model through OneInfer.
Input tokens
$0.370 / 1M tokens
Output tokens
$1.250 / 1M tokens
Routing
OneInfer optimized
Pricing
Current OneInfer pricing for this model.
| Usage | Price |
|---|---|
| Input tokens | $0.370 / 1M tokens |
| Output tokens | $1.250 / 1M tokens |
| Cached input tokens | $0.075 / 1M tokens |
Performance & Benchmarks
Independent evaluations and live cluster operational metrics
We haven’t measured this model yet. Published academic results are under Academic Evaluations.
API Guide
- 1
Generate your access token
Use your API key to generate the JWT access token required by the Models API.
- 2
Add the JWT token
Copy the generated JWT token and replace
JWT_TOKENin the example below. - 3
Check your credits
If your balance is too low, before calling the model.
- 4
Run the API example
Choose your preferred language, copy the example, and send your first model request.
curl https://api.oneinfer.ai/v1/ula/chat/completions \ -H "Authorization: Bearer $JWT_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "model": "z-ai/GLM-5.3-Flashx", "messages": [ { "role": "user", "content": "Hello!" } ] }'
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