Z.ai: GLM-5.3-FlashX
Z.ai
Sep 18, 2026
z-ai/glm-5.3-flashx
Context Length1,048,576
Input Price$0.37/1M tokens
Output Price$1.25/1M tokens
Max Output
Blended Price$0.59/1M tokens

GLM-5.3-FlashX is Z.ai's high-speed serving variant of GLM-5.3-Flash, delivering inference speeds of up to 200 tokens/s for faster responses. It inherits Flash's 320B-total/18B-active MoE design, native multimodality, hybrid sparse and linear attention architecture, and 1M-token context window. FlashX runs on a purpose-built serving stack (SGLang-based inference engine, W8A8 quantization, mixed INT8/FP8/BF16 cache quantization, and encode-prefill-decode disaggregation), reporting roughly 3x end-to-end throughput over Z.ai's initial baseline on the same hardware. It is suited for interactive coding agents, browser/computer-use loops, visual coding, and other multi-step workflows where latency compounds.

Input Modalitiestext, image, video
Output Modalitiestext
Modalitytext+image+video->text
TokenizerGLM
Provider Details

z-ai

JSON
Input Cost$0.37/1M tokens
Output Cost$1.25/1M tokens
Context Length1,048,576
Max Output131,072
Latency-
Throughput-
Supported Parameters
Parameter
Type
Z.AI
Core (Sampling & basic generation)
max_tokensMaximum tokens to generate.
number
1 to 131072
stopSequences where generation stops.
array
temperatureControls randomness of output.
number
0 to 2
top_kLimits sampling to top K tokens.
number
≥ 0
top_pNucleus sampling threshold.
number
0 to 1
Reasoning (Reasoning Controls)
reasoningProvider-specific reasoning configuration.
string
"low", "high", "max"default: max
Tool Use (Function Calls & Tools)
tool_choiceHow the model should use tools.
string
"auto", "required", "none"
toolsTool/function definitions available to the model.
array
Output & Format (Response Formatting)
response_formatStructured output format configuration.
string
"text", "json_object", "json_schema"

Throughput

Latency

Make Your First API Call

Get started by making your first request to FastRouter. Use your favorite SDK or make direct API calls.

Copy
from openai import OpenAI
client = OpenAI(
base_url="https://api.fastrouter.ai/api/v1", # FastRouter base URL
api_key= "<FASTROUTER_API_KEY>", # Replace with your FastRouter API key
)
completion = client.chat.completions.create(
model="z-ai/glm-5.3-flashx", # Replace with your model ID
messages=[
{ "role": "user", "content": "What is the meaning of life?" }
]
)
print(completion.choices[0].message.content)

Before you run this code:

  1. Replace <FASTROUTER_API_KEY> with your actual API key
  2. Install the OpenAI SDK: pip install openai
  3. Run the code, then check your dashboard for analytics
Frequently Asked Questions

More models from Z.ai
z-ai/glm-5.3-flash

GLM-5.3-Flash is Z.ai’s flagship natively multimodal GLM-5-series model with a 1M-token context window, accepting text plus images and video and producing text outputs. It targets fast, high-quality general and coding assistance with strong reasoning at “flash” latency and is released as open weights under the MIT license.

Model scores sourced from ArtificialAnalysis