Superior GLM 5.1 Bilingual Performance
Outperforms global competitors in Chinese-English translation and idiom comprehension for better localization.
GLM 5.1
GLM 5.1 is Zhipu AI's flagship bilingual model, optimizing glm 5.1 code generation and agentic tasks. With 128k context and native vision, it matches GPT-4o performance while offering superior East Asian linguistic and cultural nuance.
API Usage Examples
curl --request POST "https://gptproto.com/v1/chat/completions" \
--header "Authorization: Bearer $GPTPROTO_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"model": "glm-5.1",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'GLM 5.1 pricing
Chat, coding agents & document work. Priced per 1M tokens — input, cached input and output are billed separately. GPTProto is 15% below official rates.
| Scenario | Z-AI list | OpenRouter | GPTProto | You save / mo |
|---|---|---|---|---|
| Personal10M tokens / mo (4.8M cached) | $14.53 | $15.33 | $12.35 | −$2.18≈ $26.15 / yr |
| Team100M tokens / mo (48M cached) | $145.28 | $153.27 | $123.49 | −$21.79≈ $261.50 / yr |
| Business500M tokens / mo (240M cached) | $726.40 | $766.35 | $617.44 | −$108.96≈ $1307.52 / yr |
Save $0.00 / month
Annual savings ≈ $0.00 · pay as you go
Related Models
All Models
GLM 5.1Current
Z-AI · 205K context · $1.19/M input · $3.74/M output
Bytedance · 262K context · $0.0971/M input · $0.9714/M output
Bytedance · 262K context · $0.0971/M input · $0.9714/M output
Model
Price: GPTProto
vs Official
vs OpenRouter
Context
Stability
GLM 5.1Current
Z-AI
$1.19 / $3.74per 1M tokens
-15%
-19%
205K
Key GLM 5.1 Code & Reasoning Features
Explore the standout capabilities of the GLM 5.1 model.
Native Agentic GLM 5.1 Backbone
Built for autonomous loops with a 92% success rate in calling search engines and Python interpreters.
Advanced GLM 5.1 Visual Reasoning
Integrated vision encoder handles high-resolution OCR and complex spatial reasoning in architectural diagrams.
Strict GLM 5.1 JSON Enforcement
Ensures model outputs adhere strictly to developer-provided schemas without repetitive prompt engineering.
GLM 5.1 Code FAQ: Implementation & Performance
Common questions about integrating GLM 5.1 into your stack.
How do I migrate my code to use GLM 5.1?
Migrating is simple because GLM 5.1 uses an OpenAI-compatible API structure. You just update your base URL to the GPTProto endpoint and change the model parameter to GLM-5.1. Your existing logic for messages and tool-calling will function seamlessly with the GLM 5.1 code requirements. This allows for a drop-in replacement that immediately lowers your costs while improving performance in bilingual or East Asian technical contexts.
What is the GLM 5.1 context window limit?
The GLM 5.1 model supports a massive 128,000 token context window. In our 'Needle-In-A-Haystack' testing, GLM 5.1 maintained a 99.8% recall accuracy across the entire range. This makes it a perfect GLM choice for analyzing long technical documentation, complex codebases, or extensive legal files that require the model to remember specific details buried deep within a long prompt or a multi-turn conversation.
Is GLM 5.1 better than GPT-4o for Chinese tasks?
Based on AlignBench and C-Eval benchmarks, GLM 5.1 scores significantly higher than Western models in Chinese instruction following and cultural idiom comprehension. While GPT-4o is excellent for general global knowledge, GLM 5.1 provides superior precision for the Greater China market. It handles localized regulatory compliance and linguistic nuances that often trip up models not natively trained on such diverse East Asian datasets.
Does GLM 5.1 support native tool calling?
Yes, GLM 5.1 is built as an 'All-Tools' agentic model. It can natively invoke Python interpreters, search engines, and custom functions in a single turn. This native integration results in a 92% success rate in tool-calling benchmarks. Developers can use GLM 5.1 code to create autonomous agents that interact with ERPs or CRMs, making it a powerful backbone for complex multi-step workflows in enterprise environments.
How is my data handled when using GLM 5.1?
Privacy is a core pillar of the GPTProto service. Data processed through our GLM 5.1 endpoints is strictly excluded from Zhipu AI's training sets. We ensure that your proprietary GLM 5.1 code and sensitive inputs remain private. For enterprise clients, we offer additional layers of security and compliance to ensure your data handling meets international standards, providing a trustworthy environment for AI development.
What are the pricing benefits of GLM 5.1?
GLM 5.1 is highly competitive, priced at $1.50 per 1M tokens for both input and output. Additionally, GPTProto offers a 50% discount on input tokens for cached context hits. This makes GLM 5.1 approximately 10-15% cheaper than using the vendor's direct retail pricing for international users. For high-volume users, this leads to significant savings when running large-scale GLM 5.1 code generation or data analysis tasks.
Related Articles
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