Z.AI: GLM 4.6V FlashX
z-ai/glm-4.6v-flash
GLM-4.6V-FlashX is the paid version, offering higher capacity and stability, 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 FlashX
Tokens processed per day
Throughput
| Providers | Min (tokens/s) | Max (tokens/s) | Avg (tokens/s) |
|---|---|---|---|
| BigModel | 20.21 | 78.5 | 47.91 |
| Z.ai | 56.02 | 56.02 | 56.02 |
First Token Latency
| Providers | Min (ms) | Max (ms) | Avg (ms) |
|---|---|---|---|
| BigModel | 797 | 9489 | 2019.14 |
| Z.ai | 31734 | 31734 | 31734.00 |
Uptime stats for GLM 4.6V FlashX
Uptime stats for GLM 4.6V FlashX across all providers
| Providers | Uptime (%) |
|---|---|
| BigModel | 100.00 |
| Z.AI | - |
Pricing
Tiered Pricing
| Input Size | Fee |
|---|---|
| 0 ≤ Input < 32k | $0.0218/M tokens |
| Output | $0.2184/M tokens |
| Cache read | $0.0044/M tokens |
| Web search | $0.01/counts |
Model Limitations
- Context: 200.00K
- Max output: 128.00K
Sample code and API for GLM 4.6V FlashX
ZenMux normalizes requests and responses across providers for you.
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",
messages=[
{
"role": "user",
"content": "What is the meaning of life?"
}
]
)
print(completion.choices[0].message.content)