
Natively multimodal flash model with a 1M token context, image and video input, always-on reasoning, native web search, and tool calling.
Natively multimodal flash model with a 1M token context, image and video input, always-on reasoning, native web search, and tool calling.
Notes: - Context window: 1M tokens - Maximum output: 128K tokens - Accepts text, image, video, and file input - Always reasons; thinking cannot be disabled - Reasoning effort: low, high, or max (max recommended for complex coding) - A request for a different effort, or to turn thinking off, is served at the nearest supported level - Built-in web search adds $0.033 per request when used - Supports function calling, structured output (JSON mode), and streaming
Also known as GLM Flash, Z.ai GLM 5.3 Flash
glm-5-3-flash/v1/chat/completionsPOST/v1/responsesPOST/v1/messagesPOST/v1beta/models/glm-5-3-flash:generateContentglm-5.3-flashzai/glm-5.3-flashzhipu/glm-5.3-flashLive pay-as-you-go rates from the EmpirioLabs catalog. You are billed only for what you use, with no monthly minimum.
GLM 5.3 Flash serves the OpenAI-compatible Chat Completions API. Point any OpenAI SDK at https://api.empiriolabs.ai/v1 with your EmpirioLabs API key and use the model id glm-5-3-flash. Get an API key from the EmpirioLabs dashboard.
curl https://api.empiriolabs.ai/v1/chat/completions \
-H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "glm-5-3-flash",
"messages": [
{"role": "user", "content": "Write a haiku about the ocean."}
]
}'from openai import OpenAI
client = OpenAI(
base_url="https://api.empiriolabs.ai/v1",
api_key="YOUR_EMPIRIOLABS_API_KEY",
)
response = client.chat.completions.create(
model="glm-5-3-flash",
messages=[{"role": "user", "content": "Write a haiku about the ocean."}],
)
print(response.choices[0].message.content)Request parameters supported by the GLM 5.3 Flash API on EmpirioLabs. Defaults apply when a field is omitted.
| Parameter | Type | Default | Range / values | Description |
|---|---|---|---|---|
| max_tokens | integer | 65536 | 1 to 131072 | Maximum number of output tokens to generate. |
| temperature | number | 1 | 0 to 1 | Controls randomness. Lower values make responses more deterministic. |
| top_p | number | 0.95 | 0.01 to 1 | Nucleus sampling cutoff. |
| reasoning_effort | enum | max | low, high, max | GLM 5.3 Flash reasoning effort. This model always reasons and cannot be turned off. low is lightweight, high is enhanced, and max is deep reasoning. max is... |
| do_sample | boolean | true | - | Enable sampling. Turn off for greedy deterministic output (temperature and top_p are ignored). |
| tool_web_search | boolean | false | - | Enable built-in web search. Adds $0.033 per request when used. |
| search_recency_filter | enum | noLimit | oneDay, oneWeek, oneMonth, oneYear, noLimit | Limit web search results to a recency window. |
| count | integer | 10 | 1 to 50 | Number of web search results to retrieve when web search is enabled. |
| search_domain_filter | string | - | - | Restrict web search to a specific domain. |
| search_prompt | string | - | - | Optional prompt used to summarize retrieved web search results. |
| search_result | boolean | true | - | Return web search result metadata in the response when web search is enabled. |
| tool_stream | boolean | false | - | Stream function-call arguments incrementally when streaming. |
| tools | array | [] | - | OpenAI-compatible function calling tool definitions. |
| tool_choice | object | - | - | OpenAI-compatible tool choice control. |
On EmpirioLabs, GLM 5.3 Flash is billed pay as you go: Input $0.075 per 1M prompt tokens; Output $0.25 per 1M generated tokens; Web search $0.033 per request. The live rate card on this page always matches what the API charges.
GLM 5.3 Flash supports a 1M-token context window with up to 131,072 output tokens per response.
Yes. GLM 5.3 Flash serves the OpenAI-compatible Chat Completions API, so existing OpenAI SDKs work by pointing base_url at https://api.empiriolabs.ai/v1 and setting the model id to glm-5-3-flash.
Yes. The EmpirioLabs playground runs GLM 5.3 Flash in the browser with the same parameters the API exposes, so you can test prompts before writing code.
Create an EmpirioLabs account, then generate a key under API Keys in the dashboard. Billing is pay-as-you-go credits, so you only pay for the requests you make.
Check out our pricing or reach out if you want your own model deployed on our stack.