Z.ai · Open weights
GLM 5 Original
GLM-5 is a capable open-weight model from Zhipu with advanced reasoning and instruction following. This Original variant uses the model maker's direct endpoint.
- Reasoning
- Tools
- Structured output
- Input
- Text
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.60
- Output
- $1.90
- Cache read
- $0.10
Reference prices as published by the model provider. API example
Specifications
- Context window
- 200K
- Max output
- 128K
- Average output (7 days)
- 250 tokens
- Longer than 26% of 468 models
Side by side
GLM 5 Original compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| GLM 5 OriginalZ.aiThis model | GLM 5 Original ThinkingZ.aiRemove | |
|---|---|---|
| Provider | Z.ai | Z.ai |
| Discovery tier | Open weights | Open weights |
| Added | Feb 11, 2026 | Feb 11, 2026 |
| Limits | ||
| Context window | 200K | 200K |
| Max output | 128K | 128K |
| Average output | 250 tokens | 1.2K tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.60 | $0.60 |
| Output | $1.90 | $1.90 |
| Cache read | $0.10 | $0.10 |
| Performance | ||
| Request success (24h) | 99.7% | — |
| Benchmark indexes | ||
| Intelligence Index | 27.9 | 27.9 |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Structured output | Yes | Yes |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- GLM 5 Original
- GLM 5 Original Thinking
Intelligence Index
- GLM 5 Original27.9
- GLM 5 Original Thinking27.9
GLM 5 Original: Better than 69% of 326 scored models
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- GLM 5 Original: 75.7%Top
- GLM 5 Original Thinking: 75.7%Top
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- GLM 5 Original: 29.3%Top
- GLM 5 Original Thinking: 29.3%Top
GPQA Diamond
Graduate-level science questions
- GLM 5 Original: 82.0%Top
- GLM 5 Original Thinking: 82.0%Top
IFBench
Following precise output instructions
- GLM 5 Original: 72.3%Top
- GLM 5 Original Thinking: 72.3%Top
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- GLM 5 Original: 43.2%Top
- GLM 5 Original Thinking: 43.2%Top
τ²-Bench Telecom
Tool use in a customer-support simulation
- GLM 5 Original: 98.2%Top
- GLM 5 Original Thinking: 98.2%Top
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- GLM 5 Original: 75.7%Top
- GLM 5 Original Thinking: 75.7%Top
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
- GLM 5 Original
- GLM 5 Original Thinking
| Leaderboard | GLM 5 Original | GLM 5 Original Thinking |
|---|---|---|
| SWE-bench Verified | #11 · 72.1% | Not in top 20 |
| GPQA Diamond | #14 · 87.8% | Not in top 20 |
Ranks among Noumen catalog models on Epoch AI leaderboards. Only top-20 placements are listed.Epoch AI
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
- 72.4%
- About $0.24 per 1M input tokens with caching
- Request success (24h)
- 99.7%
- 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-5-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-5-original",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Z.ai
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