Z.ai · Open weights
GLM 4.7 Original Thinking
GLM-4.7 original with extended thinking capabilities for complex reasoning.
- Reasoning
- Tools
- Structured output
- Input
- Text
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.40
- Output
- $1.93
- Cache read
- $0.0801
Reference prices as published by the model provider. API example
Specifications
- Context window
- 200K
- Max output
- 65.5K
- Average output (7 days)
- 1.9K tokens
- Longer than 90% of 468 models
Side by side
GLM 4.7 Original Thinking compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| GLM 4.7 Original ThinkingZ.aiThis model | Apex Flash 1Z.aiRemove | |
|---|---|---|
| Provider | Z.ai | Z.ai |
| Discovery tier | Open weights | Open weights |
| Added | Dec 22, 2025 | Oct 5, 2026 |
| Limits | ||
| Context window | 200K | 1.05MBest |
| Max output | 65.54KBest | 32.77K |
| Average output | 1.9K tokens | 672 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.40 | $0.15Best |
| Output | $1.93 | $0.50Best |
| Cache read | $0.0801 | $0.075Best |
| Performance | ||
| Throughput | 31.8 tok/sBest | 14.5 tok/s |
| Time to first token | 8.3 s | 4.1 sBest |
| Request success (24h) | 100.0%Best | 94.6% |
| Benchmark indexes | ||
| Intelligence Index | 22.2 | — |
| Coding Index | 45.3 | — |
| Math Index | 95.0 | — |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Vision | No | Yes |
| Structured output | Yes | No |
| Reasoning effort | — | low, high, max |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- GLM 4.7 Original Thinking
- Apex Flash 1
Intelligence Index
- GLM 4.7 Original Thinking22.2
- Apex Flash 1—
GLM 4.7 Original Thinking: Better than 53% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- GLM 4.7 Original Thinking: 45.3
- Apex Flash 1: —
Math Index
Composite of the math evaluations
- GLM 4.7 Original Thinking: 95.0
- Apex Flash 1: —
Agentic work
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- GLM 4.7 Original Thinking: 1,013 Elo
- Apex Flash 1: —
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- GLM 4.7 Original Thinking: 71.0%
- Apex Flash 1: —
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- GLM 4.7 Original Thinking: 27.4%
- Apex Flash 1: —
GPQA Diamond
Graduate-level science questions
- GLM 4.7 Original Thinking: 85.9%
- Apex Flash 1: —
MMLU-Pro
Multi-subject knowledge and reasoning
- GLM 4.7 Original Thinking: 85.6%
- Apex Flash 1: —
IFBench
Following precise output instructions
- GLM 4.7 Original Thinking: 67.9%
- Apex Flash 1: —
Coding
LiveCodeBench
Recent competitive programming problems
- GLM 4.7 Original Thinking: 89.4%
- Apex Flash 1: —
Math
AIME 2025
Competition mathematics, 2025 problems
- GLM 4.7 Original Thinking: 95.0%
- Apex Flash 1: —
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- GLM 4.7 Original Thinking: 31.8%
- Apex Flash 1: —
τ²-Bench Telecom
Tool use in a customer-support simulation
- GLM 4.7 Original Thinking: 95.9%
- Apex Flash 1: —
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- GLM 4.7 Original Thinking: 71.0%
- Apex Flash 1: —
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.
- Throughput
- 31.8 tok/s
- Faster than 22% of 254 models
- Time to first token
- 8.3 s
- Quicker than 16% of 254 models
- Prompt cache hits
- 43.3%
- About $0.26 per 1M input tokens with caching
- Request success (24h)
- 100.0%
- 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-4.7-original:thinking",
"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-4.7-original:thinking",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Z.ai
Related models
Other Z.ai models, starting with the same family.