Z.ai · Open weights
GLM 4.5V
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.
| GLM 4.5VZ.aiThis model | GLM 5.2 TEEZ.aiRemove | |
|---|---|---|
| Provider | Z.ai | Z.ai |
| Discovery tier | Open weights | Open weights |
| Added | Nov 22, 2025 | Jun 16, 2026 |
| Limits | ||
| Context window | 65.54K | 1.05MBest |
| Max output | 16.38K | 131.07KBest |
| Average output | 732 tokens | 1.5K tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.60Best | $1.40 |
| Output | $1.80Best | $4.40 |
| Cache read | — | $0.70 |
| Performance | ||
| Throughput | — | 19.5 tok/s |
| Time to first token | — | 19.5 s |
| Request success (24h) | — | 56.5% |
| Benchmark indexes | ||
| Intelligence Index | 6.7 | 22.4Best |
| Coding Index | — | 46.5 |
| Math Index | 15.3 | — |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | No | Yes |
| Vision | Yes | No |
| Structured output | No | Yes |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- GLM 4.5V
- GLM 5.2 TEE
Intelligence Index
- GLM 4.5V6.7
- GLM 5.2 TEE22.4
GLM 4.5V: Better than 6% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- GLM 4.5V: —
- GLM 5.2 TEE: 46.5
Math Index
Composite of the math evaluations
- GLM 4.5V: 15.3
- GLM 5.2 TEE: —
Agentic work
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- GLM 4.5V: —
- GLM 5.2 TEE: 1,244 Elo
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- GLM 4.5V: 0.0%
- GLM 5.2 TEE: 42.3%Top
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- GLM 4.5V: 3.5%
- GLM 5.2 TEE: 9.8%Top
GPQA Diamond
Graduate-level science questions
- GLM 4.5V: 57.3%
- GLM 5.2 TEE: 68.6%Top
MMLU-Pro
Multi-subject knowledge and reasoning
- GLM 4.5V: 75.1%
- GLM 5.2 TEE: —
IFBench
Following precise output instructions
- GLM 4.5V: 28.6%
- GLM 5.2 TEE: —
Coding
LiveCodeBench
Recent competitive programming problems
- GLM 4.5V: 35.2%
- GLM 5.2 TEE: —
Math
AIME 2025
Competition mathematics, 2025 problems
- GLM 4.5V: 15.3%
- GLM 5.2 TEE: —
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- GLM 4.5V: 6.8%
- GLM 5.2 TEE: —
τ²-Bench Telecom
Tool use in a customer-support simulation
- GLM 4.5V: 19.6%
- GLM 5.2 TEE: —
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- GLM 4.5V: 0.0%
- GLM 5.2 TEE: 42.3%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.
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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