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Z.ai · Efficient

GLM 4.1V Thinking Flash

Added Jul 9, 2025

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Use in the app

Vision-Language Model with thinking paradigm and reinforcement learning. Achieves state-of-the-art performance among 10B-parameter VLMs. Supports 64k context length, handles arbitrary aspect ratios and up to 4K image resolution. Bilingual Chinese/English.

  • Vision
Input
Text, Images
Output
Text
Discovery tier
Efficient

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

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GLM 4.1V Thinking Flash compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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GLM 4.1V Thinking FlashZ.aiThis modelGLM 4.7 Flash ThinkingZ.aiRemove
ProviderZ.aiZ.ai
Discovery tierEfficientOpen weights
AddedJul 9, 2025Jan 19, 2026
Limits
Context window64K200KBest
Max output8.19K128KBest
Average output—2.3K tokens
Pricing, USD per 1M tokens
Input$0.30$0.07Best
Output$0.30Best$0.40
Cache read—$0.01
Performance
Throughput—43.1 tok/s
Time to first token—6.6 s
Request success (24h)—100.0%
Benchmark indexes
Intelligence Index—14.9
Capabilities
ReasoningNoYes
ToolsNoYes
VisionYesNo
Reasoning effort——

Public evaluations

Benchmarks

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

  • GLM 4.1V Thinking Flash
  • GLM 4.7 Flash Thinking

Intelligence Index

  • GLM 4.1V Thinking Flash—
  • GLM 4.7 Flash Thinking14.9
3.8Catalog models by score55.1

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • GLM 4.1V Thinking Flash: —
    • GLM 4.7 Flash Thinking: 41.7%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GLM 4.1V Thinking Flash: —
    • GLM 4.7 Flash Thinking: 7.6%

  • GPQA Diamond

    Graduate-level science questions

    • GLM 4.1V Thinking Flash: —
    • GLM 4.7 Flash Thinking: 58.1%

  • IFBench

    Following precise output instructions

    • GLM 4.1V Thinking Flash: —
    • GLM 4.7 Flash Thinking: 60.8%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • GLM 4.1V Thinking Flash: —
    • GLM 4.7 Flash Thinking: 22.0%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • GLM 4.1V Thinking Flash: —
    • GLM 4.7 Flash Thinking: 98.8%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GLM 4.1V Thinking Flash: —
    • GLM 4.7 Flash Thinking: 41.7%

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

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-flash",
    "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-flash",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Z.ai

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