Z.ai · Open weights
GLM 4.6 Turbo
Fast variant of GLM 4.6 for general chat, coding, and analysis with improved latency and strong reasoning.
- Input
- Text
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $1.00
- Output
- $3.00
Reference prices as published by the model provider. API example
Specifications
- Context window
- 204.8K
- Max output
- 131.1K
- Average output (7 days)
- 696 tokens
- Longer than 61% of 468 models
Side by side
GLM 4.6 Turbo compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| GLM 4.6 TurboZ.aiThis model | GLM 4.6 Turbo (Thinking)Z.aiRemove | |
|---|---|---|
| Provider | Z.ai | Z.ai |
| Discovery tier | Open weights | Open weights |
| Added | Oct 2, 2025 | Oct 2, 2025 |
| Limits | ||
| Context window | 204.8K | 204.8K |
| Max output | 131.07K | 131.07K |
| Average output | 696 tokens | 1.9K tokens |
| Pricing, USD per 1M tokens | ||
| Input | $1.00 | $1.00 |
| Output | $3.00 | $3.00 |
| Benchmark indexes | ||
| Intelligence Index | 14.9 | 18.5Best |
| Coding Index | — | 45.8 |
| Math Index | 44.3 | 86.0Best |
| Capabilities | ||
| Reasoning | No | Yes |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- GLM 4.6 Turbo
- GLM 4.6 Turbo (Thinking)
Intelligence Index
- GLM 4.6 Turbo14.9
- GLM 4.6 Turbo (Thinking)18.5
GLM 4.6 Turbo: Better than 37% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- GLM 4.6 Turbo: —
- GLM 4.6 Turbo (Thinking): 45.8
Math Index
Composite of the math evaluations
- GLM 4.6 Turbo: 44.3
- GLM 4.6 Turbo (Thinking): 86.0Top
Agentic work
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- GLM 4.6 Turbo: —
- GLM 4.6 Turbo (Thinking): 756 Elo
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- GLM 4.6 Turbo: 26.3%
- GLM 4.6 Turbo (Thinking): 54.0%Top
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- GLM 4.6 Turbo: 5.5%
- GLM 4.6 Turbo (Thinking): 14.5%Top
GPQA Diamond
Graduate-level science questions
- GLM 4.6 Turbo: 63.2%
- GLM 4.6 Turbo (Thinking): 78.0%Top
MMLU-Pro
Multi-subject knowledge and reasoning
- GLM 4.6 Turbo: 78.4%
- GLM 4.6 Turbo (Thinking): 82.9%Top
IFBench
Following precise output instructions
- GLM 4.6 Turbo: 36.7%
- GLM 4.6 Turbo (Thinking): 43.4%Top
Coding
LiveCodeBench
Recent competitive programming problems
- GLM 4.6 Turbo: 56.1%
- GLM 4.6 Turbo (Thinking): 69.5%Top
Math
AIME 2025
Competition mathematics, 2025 problems
- GLM 4.6 Turbo: 44.3%
- GLM 4.6 Turbo (Thinking): 86.0%Top
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- GLM 4.6 Turbo: 28.8%Top
- GLM 4.6 Turbo (Thinking): 25.0%
τ²-Bench Telecom
Tool use in a customer-support simulation
- GLM 4.6 Turbo: 76.9%Top
- GLM 4.6 Turbo (Thinking): 70.5%
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- GLM 4.6 Turbo: 26.3%
- GLM 4.6 Turbo (Thinking): 54.0%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.
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-turbo",
"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-turbo",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Z.ai
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