Z.AI: GLM 4.6V Flash (Free) Free Rate Limit
z-ai/glm-4.6v-flash-free
GLM-4.6V-Flash is the free version of GLM-4.6V, representing a significant iteration in the GLM series for multimodal capabilities. It supports toggling reasoning modes, with a training-time context window expanded to 128k tokens. Achieving state-of-the-art (SOTA) visual understanding accuracy at its parameter scale, it is the first visual model to natively integrate Function Call capability into its architecture. This establishes a seamless pipeline from "visual perception" to "executable actions (Action)", offering a unified technical foundation for multimodal agents in real-world business scenarios.
Recent activity on GLM 4.6V Flash (Free)
Tokens processed per day
Throughput
(tokens/s)
| Providers | Min (tokens/s) | Max (tokens/s) | Avg (tokens/s) |
|---|---|---|---|
| Z.ai | 5.74 | 72.68 | 31.12 |
| BigModel | 8.66 | 59.45 | 33.47 |
First Token Latency
(ms)
| Providers | Min (ms) | Max (ms) | Avg (ms) |
|---|---|---|---|
| Z.ai | 925 | 8031 | 3685.07 |
| BigModel | 1170 | 9417 | 3726.69 |
Uptime stats for GLM 4.6V Flash (Free)
Uptime stats for GLM 4.6V Flash (Free) across all providers
Uptime
BigModelZ.AI
( Percent )
Providers for GLM 4.6V Flash (Free)
ZenMux Provider to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.
Latency
5.78
s
Throughput
46.06 tps
Uptime
100.00 %
Recent uptime
Apr 30, 2026 6:00 PM-
Price
Tiered Pricing
0 ≤ Input < 32k
Input
$ 0.021$ 0/ M tokens
Output
$ 0.21$ 0/ M tokens
Cache read
$ 0.0043$ 0/ M tokens
Sample code and API for GLM 4.6V Flash (Free)
ZenMux normalizes requests and responses across providers for you.
OpenAI: Python-SDK
OpenAI: cURL
Anthropic: Python-SDK
Anthropic: cURL
from openai import OpenAI
client = OpenAI(
base_url="https://zenmux.ai/api/v1",
api_key="<ZENMUX_API_KEY>",
)
# Chat Completion
completion = client.chat.completions.create(
model="z-ai/glm-4.6v-flash-free",
messages=[\
{\
"role": "user",\
"content": "What is the meaning of life?"\
}\
]
)
print(completion.choices[0].message.content)