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Z.ai · Open weights

GLM 4.5V

Added Nov 22, 2025Open weights

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Use in the app

Multimodal GLM 4.5V that handles images alongside text while keeping the balanced reasoning strength of the GLM 4.5 family.

  • Reasoning
  • Vision
Input
Text, Images
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.60
Output
$1.80

Reference prices as published by the model provider. API example

Specifications

Context window
65.5K
Max output
16.4K
Average output (7 days)
732 tokens
Longer than 63% of 468 models

Side by side

GLM 4.5V compared

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

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GLM 4.5VZ.aiThis modelGemini 2.5 Flash LiteGoogleRemove
ProviderZ.aiGoogle
Discovery tierOpen weightsEfficient
AddedNov 22, 2025Jun 17, 2025
Limits
Context window65.54K1.05MBest
Max output16.38K65.54KBest
Average output732 tokens42 tokens
Pricing, USD per 1M tokens
Input$0.60$0.10Best
Output$1.80$0.40Best
Cache read—$0.01
Performance
Throughput—271.6 tok/s
Time to first token—0.7 s
Request success (24h)—99.4%
Benchmark indexes
Intelligence Index6.76.7
Math Index15.335.3Best
Capabilities
ReasoningYesYes
ToolsNoYes
VisionYesYes
Audio inputNoYes
Video inputNoYes
Reasoning effort—low, medium, high

Public evaluations

Benchmarks

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

  • GLM 4.5V
  • Gemini 2.5 Flash Lite

Intelligence Index

  • GLM 4.5V6.7
  • Gemini 2.5 Flash Lite6.7

GLM 4.5V: Better than 6% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • GLM 4.5V: 15.3
    • Gemini 2.5 Flash Lite: 35.3Top

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • GLM 4.5V: 0.0%
    • Gemini 2.5 Flash Lite: 32.0%Top

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GLM 4.5V: 3.5%
    • Gemini 2.5 Flash Lite: 3.7%Top

  • GPQA Diamond

    Graduate-level science questions

    • GLM 4.5V: 57.3%Top
    • Gemini 2.5 Flash Lite: 47.4%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • GLM 4.5V: 75.1%Top
    • Gemini 2.5 Flash Lite: 72.4%

  • IFBench

    Following precise output instructions

    • GLM 4.5V: 28.6%
    • Gemini 2.5 Flash Lite: 31.5%Top

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • GLM 4.5V: 35.2%
    • Gemini 2.5 Flash Lite: 40.0%Top

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • GLM 4.5V: 15.3%
    • Gemini 2.5 Flash Lite: 35.3%Top

  • AIME

    Competition mathematics

    • GLM 4.5V: —
    • Gemini 2.5 Flash Lite: 50.0%

  • MATH-500

    Competition math problems

    • GLM 4.5V: —
    • Gemini 2.5 Flash Lite: 92.6%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • GLM 4.5V: 6.8%Top
    • Gemini 2.5 Flash Lite: 2.3%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • GLM 4.5V: 19.6%Top
    • Gemini 2.5 Flash Lite: 19.0%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GLM 4.5V: 0.0%
    • Gemini 2.5 Flash Lite: 32.0%Top

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": "z-ai/glm-4.5v",
    "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="z-ai/glm-4.5v",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Z.ai

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