Z.ai · Balanced
GLM 4.1V Thinking FlashX
Enhanced version of GLM 4.1V Thinking Flash. Vision-Language Model with advanced reasoning for complex visual tasks, multimodal problem solving, and intelligent agents. Supports 64k context length and handles arbitrary aspect ratios up to 4K resolution.
- Vision
- Input
- Text, Images
- Output
- Text
- Discovery tier
- Balanced
Pricing
USD per 1M tokens- Input
- $0.30
- Output
- $0.30
Reference prices as published by the model provider. API example
Specifications
- Context window
- 64K
- Max output
- 8.2K
Side by side
GLM 4.1V Thinking FlashX compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| GLM 4.1V Thinking FlashXZ.aiThis model | Apex Flash 1Z.aiRemove | |
|---|---|---|
| Provider | Z.ai | Z.ai |
| Discovery tier | Balanced | Open weights |
| Added | Jul 9, 2025 | Oct 5, 2026 |
| Limits | ||
| Context window | 64K | 1.05MBest |
| Max output | 8.19K | 32.77KBest |
| Average output | — | 672 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.30 | $0.15Best |
| Output | $0.30Best | $0.50 |
| Cache read | — | $0.075 |
| Performance | ||
| Throughput | — | 14.1 tok/s |
| Time to first token | — | 6.9 s |
| Request success (24h) | — | 94.6% |
| Capabilities | ||
| Reasoning | No | Yes |
| Tools | No | Yes |
| Vision | Yes | Yes |
| Reasoning effort | — | low, high, max |
Public evaluations
Benchmarks
There are no public benchmark results for these models yet.
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "glm-4.1v-thinking-flashx",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="glm-4.1v-thinking-flashx",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Z.ai
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