Z.ai · Balanced

GLM 4.1V Thinking FlashX

Added Jul 9, 2025

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.

Limits
	GLM 4.1V Thinking FlashXZ.aiThis model	GLM 5.3 UncensoredZ.aiRemove
Provider	Z.ai	Z.ai
Discovery tier	Balanced	Open weights
Added	Jul 9, 2025	Sep 26, 2026
Context window	64K	1.05MBest
Max output	8.19K	131.07KBest
Average output	—	1.1K tokens
Pricing, USD per 1M tokens
Input	$0.30Best	$1.25
Output	$0.30Best	$2.25
Cache read	—	$0.30
Performance
Throughput	—	38.9 tok/s
Time to first token	—	26.2 s
Request success (24h)	—	98.8%
Capabilities
Reasoning	No	Yes
Tools	No	Yes
Vision	Yes	No
Reasoning effort	—	low, high, max

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

GLM 4.1V Thinking FlashX
GLM 5.3 Uncensored

Leaderboard	GLM 4.1V Thinking FlashX	GLM 5.3 Uncensored
Usage Share	Not in top 20	#8 · 4.8%

Ranks among Noumen catalog models on Usage leaderboards. Only top-20 placements are listed.

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart

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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