Z.ai · Open weights
GLM 4.6 Original
GLM-4.6, Zhipu's flagship text model with 256K context window and advanced reasoning capabilities. Direct via Z-AI (Zhipu).
- Reasoning
- Tools
- Input
- Text
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.50
- Output
- $2.00
- Cache read
- $0.10
Reference prices as published by the model provider. API example
Specifications
- Context window
- 256K
- Max output
- 65.5K
- Average output (7 days)
- 1.3K tokens
- Longer than 81% of 468 models
Side by side
Compare models
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Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
Intelligence Index
14.9
Better than 37% of 326 scored models
Indexes
Math Index
44.3Composite of the math evaluations
Better than 41% of 118 scored models
Document reasoning
AA-LCRv1.1
26.3%Reasoning across long documents
Better than 11% of 309 scored models
Reasoning and knowledge
Humanity’s Last Exam
5.5%Expert-level questions across academic fields
Better than 20% of 323 scored models
GPQA Diamond
63.2%Graduate-level science questions
Better than 20% of 291 scored models
MMLU-Pro
78.4%Multi-subject knowledge and reasoning
Better than 41% of 132 scored models
IFBench
36.7%Following precise output instructions
Better than 17% of 215 scored models
Coding
LiveCodeBench
56.1%Recent competitive programming problems
Better than 50% of 129 scored models
Math
AIME 2025
44.3%Competition mathematics, 2025 problems
Better than 41% of 118 scored models
Legacy evaluations
Terminal-Bench Hard
28.8%Earlier terminal task suite
Better than 53% of 212 scored models
τ²-Bench Telecom
76.9%Tool use in a customer-support simulation
Better than 57% of 214 scored models
AA-LCR (unversioned)
26.3%Long-context reasoning, earlier grading
Better than 11% of 309 scored models
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Prompt cache hits
- 29.1%
- About $0.38 per 1M input tokens with caching
- Request success (24h)
- 99.4%
- Reliable
Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
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-4.6-original",
"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-4.6-original",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Z.ai
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