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	Mistral Code LatestMistralRemove
Provider	Z.ai	Mistral
Discovery tier	Balanced	Balanced
Added	Jul 9, 2025	Jun 2, 2026
Context window	64K	256KBest
Max output	8.19K	32.77KBest
Pricing, USD per 1M tokens
Input	$0.30	$0.30
Output	$0.30Best	$0.90
Capabilities
Tools	No	Yes
Vision	Yes	No
Structured output	No	Yes
Reasoning effort	—	—

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.

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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