GLM 5

The glm-5/text-to-text model represents the pinnacle of Zhipu AI's engineering, now fully integrated into the GPT Proto ecosystem. Designed specifically as a foundational pillar for autonomous agent applications, glm-5/text-to-text excels in multi-step reasoning, complex instruction following, and high-fidelity text generation. With a massive 128K context window and optimized tokenization, glm-5/text-to-text offers developers a reliable alternative for enterprise-grade NLP tasks. By utilizing glm-5/text-to-text on GPT Proto, users gain access to a stable, high-concurrency API environment that prioritizes precision and cost-efficiency without compromising on raw intelligence.

Modalities

Context

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",
    "messages": [
      {
        "role": "user",
        "content": "Hello"
      }
    ]
  }'

GLM 5 pricing

Chat, coding agents & document work. Priced per 1M tokens — input, cached input and output are billed separately. GPTProto is 10% below official rates.

Your usage

Model

Z-AI · ≈ 148M tokens/mo (48M cached)

Monthly volume

OpenRouter

List + 5.5% credit fee

$111.41

per month

Input (non-cached)$33.76

Cache read$10.128

Output$67.52

Z-AI

Direct from Z-AI (list price)

$105.60

per month

Input (non-cached)$32

Cache read$9.6

Output$64

BEST VALUE

GPTProto

10% off official

$95.04

per month

After discount$95.04

Effective$95.04

Monthly cost by source

OpenRouter

$111.41

Z-AI

$105.60

GPTProto

$95.04

Save $10.56 / month

on GPTProto vs Z-AI (−10%)

Annual savings ≈ $126.72 · pay as you go

OpenRouter costs include its ~5.5% credit purchase fee. GPTProto applies a per-model discount (10–30% off) and your bonus credits are also spent at discounted rates — savings compound. Estimates assume a 60% cache hit rate.

Related Models

All Models

GLM 5

Current

byZ-AI205K context$0.9/M input$2.88/M output

DeepSeek Flash

byDeepSeek$0.3/M input$1.2/M output

Hy4 Preview

byHunyuan1.05M context$0.7923/M input$2.376/M output

GPT 6 Astra

byOpenAI1.05M context$8/M input$40/M output

Gemini 3.8 Flash

byGoogle1.05M context$0.9/M input$4.5/M output

Claude Fable 5.1

byClaude1M context$9/M input$45/M output

Qwen3.8 Max 0902

byQwen1M context$1.8/M input$5.4/M output

GLM 5.3 Flash

byZ-AI1.31M context$0.15/M input$0.5/M output

DeepSeek v4 Flash Vision Exp

byDeepSeek1.05M context$0.3/M input$1.2/M output

GLM 5.3

byZ-AI1.31M context$1.26/M input$3.96/M output

Gemini 3.7 Flash

byGoogle1.05M context$0.9/M input$4.5/M output

Grok 4.6

byGrok500K context$1.2/M input$3.6/M output

Qwen3.8 Max

byQwen1M context$1.8/M input$5.4/M output

Claude Opus 5

byClaude1M context$4.5/M input$22.5/M output

Gemini 3.6 Flash

byGoogle1.05M context$0.9/M input$4.5/M output

Kimi K3

byMoonshotAI1.05M context$2.7/M input$13.5/M output

GPT 5.6 Luna

byOpenAI1.05M context$0.16/M input$0.96/M output

GPT 5.6 Terra

byOpenAI1.05M context$1.6/M input$9.6/M output

Grok 4.5

byGrok500K context$1.2/M input$3.6/M output

Claude Sonnet 5

byClaude1M context$1.8/M input$9/M output

Minimax M3

byMiniMax1.05M context$0.48/M input$0.96/M output

GLM 5.2

byZ-AI1.05M context$1.26/M input$3.96/M output

Qwen3.7 Max

byQwen1M context$0.36/M input$1.44/M output

DeepSeek v4 Flash

byDeepSeek1.05M context$0.3/M input$1.2/M output

Grok 4.3

byGrok1M context$0.75/M input$1.5/M output

Kimi K2.6

byMoonshotAI262K context$0.855/M input$3.6/M output

GLM 5.1

byZ-AI205K context$1.26/M input$3.96/M output

GLM 5 Turbo

byZ-AI203K context$1.08/M input$3.6/M output

Minimax M2.5

byMiniMax205K context$0.24/M input$0.96/M output

Kimi K2.5

byMoonshotAI262K context$0.54/M input$2.7/M output

Doubao Seed 1.6 Thinking (Build 250715)

byBytedance262K context$0.0971/M input$0.9714/M output

Doubao Seed 1.6 Thinking (Build 250615)

byBytedance262K context$0.0971/M input$0.9714/M output

Doubao Seed 1.6 Flash (Build 250615)

byBytedance262K context$0.0182/M input$0.1821/M output

Model					Input → Output
GLM 5Current $		205K	$0.90 / $2.88 per 1M	$0.18 / $0.18 per 1M	Input: TextInput: Document Output: Text
DeepSeek Flash $	—	—	$0.30 / $1.20 per 1M	— / $0.006 per 1M	Input: TextInput: Image Output: Text
Hy4 Preview $		1.05M	$0.79 / $2.38 per 1M	— / $0.04 per 1M	Input: Text Output: Text
GPT 6 Astra $		1.05M	$8.00 / $40.00 per 1M	$10.00 / $0.80 per 1M	Input: TextInput: ImageInput: Document Output: Text
Gemini 3.8 Flash $		1.05M	$0.90 / $4.50 per 1M	$0.60 / $0.09 per 1M	Input: TextInput: ImageInput: VideoInput: DocumentInput: Audio Output: Text
Claude Fable 5.1 $		1M	$9.00 / $45.00 per 1M	$11.25 / $0.23 per 1M	Input: TextInput: ImageInput: Document Output: Text
Qwen3.8 Max 0902 $		1M	$1.80 / $5.40 per 1M	$2.25 / $0.23 per 1M	Input: TextInput: ImageInput: VideoInput: DocumentInput: Audio Output: Text
GLM 5.3 Flash $	—	1.31M	$0.15 / $0.50 per 1M	— / $0.03 per 1M	Input: TextInput: ImageInput: VideoInput: Document Output: Text
DeepSeek v4 Flash Vision Exp $	—	1.05M	$0.30 / $1.20 per 1M	— / $0.006 per 1M	Input: TextInput: Image Output: Text
GLM 5.3 $		1.31M	$1.26 / $3.96 per 1M	— / $0.23 per 1M	Input: TextInput: ImageInput: Document Output: Text
Gemini 3.7 Flash $		1.05M	$0.90 / $4.50 per 1M	$0.60 / $0.09 per 1M	Input: TextInput: ImageInput: Document Output: Text
Grok 4.6 $		500K	$1.20 / $3.60 per 1M	— / $0.30 per 1M	Input: TextInput: Image Output: Text
Qwen3.8 Max $		1M	$1.80 / $5.40 per 1M	$2.25 / $0.23 per 1M	Input: TextInput: ImageInput: VideoInput: Document Output: Text
Claude Opus 5 $		1M	$4.50 / $22.50 per 1M	$5.63 / $0.45 per 1M	Input: TextInput: ImageInput: Document Output: Text
Gemini 3.6 Flash $		1.05M	$0.90 / $4.50 per 1M	$0.60 / $0.09 per 1M	Input: TextInput: ImageInput: Document Output: Text
Kimi K3 $		1.05M	$2.70 / $13.50 per 1M	$0.27 / $0.27 per 1M	Input: TextInput: ImageInput: Document Output: Text
GPT 5.6 Luna $		1.05M	$0.16 / $0.96 per 1M	$0.20 / $0.02 per 1M	Input: TextInput: ImageInput: Document Output: Text
GPT 5.6 Terra $		1.05M	$1.60 / $9.60 per 1M	$2.00 / $0.16 per 1M	Input: TextInput: ImageInput: Document Output: Text
Grok 4.5 $		500K	$1.20 / $3.60 per 1M	$0.30 / $0.30 per 1M	Input: TextInput: Image Output: Text
Claude Sonnet 5 $		1M	$1.80 / $9.00 per 1M	$2.25 / $0.18 per 1M	Input: TextInput: Document Output: Text
Minimax M3 $		1.05M	$0.48 / $0.96 per 1M	$0.10 / $0.10 per 1M	Input: TextInput: ImageInput: Document Output: Text
GLM 5.2 $		1.05M	$1.26 / $3.96 per 1M	$0.23 / $0.23 per 1M	Input: TextInput: ImageInput: Document Output: Text
Qwen3.7 Max $		1M	$0.36 / $1.44 per 1M	$0.07 / $0.07 per 1M	Input: TextInput: Document Output: Text
DeepSeek v4 Flash $	—	1.05M	$0.30 / $1.20 per 1M	— / $0.006 per 1M	Input: Text Output: Text
Grok 4.3 $		1M	$0.75 / $1.50 per 1M	$0.12 / $0.12 per 1M	Input: TextInput: Image Output: Text
Kimi K2.6 $		262K	$0.85 / $3.60 per 1M	$0.14 / $0.14 per 1M	Input: TextInput: Document Output: Text
GLM 5.1 $		205K	$1.26 / $3.96 per 1M	$0.23 / $0.23 per 1M	Input: TextInput: Document Output: Text
GLM 5 Turbo $		203K	$1.08 / $3.60 per 1M	$0.22 / $0.22 per 1M	Input: TextInput: Document Output: Text
Minimax M2.5 $		205K	$0.24 / $0.96 per 1M	$0.30 / $0.02 per 1M	Input: TextInput: Document Output: Text
Kimi K2.5 $		262K	$0.54 / $2.70 per 1M	$0.09 / $0.09 per 1M	Input: TextInput: Document Output: Text
Doubao Seed 1.6 Thinking (Build 250715) $		262K	$0.10 / $0.97 per 1M	—	Input: TextInput: Image Output: Text
Doubao Seed 1.6 Thinking (Build 250615) $		262K	$0.10 / $0.97 per 1M	—	Input: TextInput: Image Output: Text
Doubao Seed 1.6 Flash (Build 250615) $		262K	$0.02 / $0.18 per 1M	—	Input: TextInput: Image Output: Text

Unlock the Full Power of GLM-5 API: Premium Integration on GPT Proto

Welcome to the future of large language models. The GLM-5 model from Z-AI is now fully integrated into our ecosystem, offering developers and businesses a powerful, versatile tool for complex text generation and multi-step reasoning. To explore our full suite of cutting-edge intelligence, you can browse all models available on our platform and discover the perfect fit for your next big project.

Master Complex Text Processing with the Cutting-Edge GLM-5 on GPT Proto

GLM-5 is not just another language model; it is a flagship reasoning engine designed to handle the most demanding linguistic challenges with ease. By utilizing the GLM-5 API on GPT Proto, you gain access to a model that excels in deep semantic understanding, allowing it to navigate nuanced instructions that standard models often struggle to interpret. Whether you are building an automated customer support system or a sophisticated content generation pipeline, GLM-5 on GPT Proto provides the cognitive depth necessary to deliver human-like accuracy and professional-grade quality in every response. Our infrastructure ensures that this power is delivered with minimal latency, transforming how your application interacts with users.

One of the most revolutionary aspects of this model is its massive context window, supporting up to 128K tokens for output. This means you can process entire books, massive code repositories, or exhaustive legal documents in a single session without losing the "thread" of the conversation. When you deploy GLM-5 on GPT Proto, you are choosing a platform that prioritizes stability and throughput, ensuring that your long-form generations are never interrupted. The ability to maintain high coherence over such a vast amount of data makes GLM-5 the ideal choice for enterprise-level data synthesis and comprehensive report generation.

Elevate Professional Writing and Logical Reasoning via GLM-5 on GPT Proto

For creators and researchers, GLM-5 on GPT Proto offers a unique "Thinking Mode" or Chain of Thought capability. This allows the model to process internal logic before presenting a final answer, leading to significantly fewer errors in mathematical problems, programming tasks, and logical puzzles. Users can create sophisticated tutoring applications that explain the "why" behind an answer, or develop automated editors that can critique their own work for consistency and tone. By choosing to run these tasks on GPT Proto, you benefit from a streamlined API experience that makes toggling these advanced parameters as simple as a single line of code.

Seamless Multi-Turn Conversations with High Context Windows on GPT Proto

In the realm of conversational AI, consistency is king. GLM-5 on GPT Proto excels at maintaining a persistent persona and remembering details from the beginning of a long dialogue. This makes it perfect for role-playing applications, long-term educational assistants, or complex project management bots. Because GPT Proto optimizes the delivery of these multi-turn messages, your users will experience a fluid, natural interaction that feels less like talking to a machine and more like collaborating with a highly intelligent partner who remembers every detail of your previous discussions.

GLM-5 on GPT Proto represents the pinnacle of logical inference and versatile text generation for modern developers.

Experience Unmatched Reliability and Scalability Using GLM-5 on GPT Proto

Scalability is at the heart of the GPT Proto philosophy. As your user base grows, you need an API provider that can grow with you without requiring complex re-configurations or suffering from frequent downtime. Accessing GLM-5 on GPT Proto gives you the peace of mind that comes with enterprise-grade server clusters and optimized routing. We have meticulously documented every endpoint and parameter to ensure that your integration process is as smooth as possible. For a deep dive into the technical specifications and to get your environment set up in minutes, please refer to our comprehensive API documentation.

Furthermore, GLM-5 on GPT Proto supports advanced features like JSON mode and tool-calling, which are essential for building autonomous agents. The model can intelligently decide when to call a function or search the web to provide real-time information, making your applications more dynamic and useful. By handling these complex interactions on GPT Proto, you reduce the overhead on your own servers and leverage our high-performance gateway to manage the heavy lifting of multimodal inputs and outputs.

Feature	Standard Models	Z-AI GLM-5 on GPT Proto
Context Output	16K - 32K Tokens	Up to 128K Tokens
Reasoning Quality	Basic Inference	Advanced Chain of Thought
Cost Efficiency	Variable / High	Optimized & Transparent
Integration Speed	Complex Setup	Instant via Unified API

Transparent Pricing and Direct Balance Management for GLM-5 on GPT Proto

We believe that accessing world-class AI should be straightforward and financially transparent. Unlike other platforms that use confusing "credit" systems, GPT Proto uses a direct fund model. You simply add the amount you wish to spend, and you are billed exactly for what you use. This "pay-as-you-go" approach ensures that you never pay for capacity you don't need. To get started, you can top-up your balance using our secure payment gateway. Once your account is funded, you can immediately begin making calls to the GLM-5 API and start building.

Managing your operations is equally simple. Our centralized platform provides detailed insights into your API calls, token usage, and remaining funds. You can monitor your activity in real-time by visiting your personal dashboard. This transparency allows you to optimize your prompts and manage your budget effectively, ensuring that your use of GLM-5 on GPT Proto remains both powerful and cost-effective as you scale from a prototype to a full production release.

The landscape of artificial intelligence is changing rapidly, and staying informed is key to maintaining a competitive edge. We regularly publish insights, tutorials, and success stories featuring models like GLM-5 on our official blog. Whether you are looking for tips on prompt engineering or examples of how other developers are using Z-AI models to disrupt their industries, our blog is the ultimate resource for the GPT Proto community. Join us today and start building the future of text-to-text applications with GLM-5.

Deep Dive: Frequently Asked Questions for glm-5/text-to-text

Everything you need to know about integrating and optimizing the glm-5/text-to-text flagship model on GPT Proto.

What is the primary strength of glm-5/text-to-text compared to previous versions?

The primary strength of glm-5/text-to-text lies in its advanced reasoning capabilities and its specific design for agentic applications, allowing it to follow complex instructions more accurately than earlier iterations.

How do I manage the 128K context window in glm-5/text-to-text?

You can pass large datasets or long conversation histories to glm-5/text-to-text on GPT Proto; the model is optimized to maintain high retrieval accuracy even at the end of the 128K window.

Does glm-5/text-to-text support structured output like JSON?

Yes, glm-5/text-to-text is highly proficient in JSON mode. When using glm-5/text-to-text on GPT Proto, you can specify the response format to ensure valid data structures for your applications.

Is glm-5/text-to-text suitable for real-time applications?

Absolutely. By using the streaming output mode for glm-5/text-to-text on GPT Proto, you can provide users with real-time text generation, reducing perceived latency in chat interfaces.

Can I use glm-5/text-to-text for bilingual English-Chinese tasks?

Yes, glm-5/text-to-text is one of the top-performing models globally for bilingual tasks, offering seamless transitions between English and Chinese logic.

How is billing handled for glm-5/text-to-text on GPT Proto?

We use a direct balance system. You just need to top-up balance in your account; glm-5/text-to-text usage is deducted based on the number of tokens processed.

Does glm-5/text-to-text require specific prompting techniques?

While glm-5/text-to-text is robust, it responds exceptionally well to chain-of-thought prompting, which allows the model to fully utilize its reasoning engine.

What is the default temperature for glm-5/text-to-text?

The default temperature for the glm-5/text-to-text series is 1.0, which balances creativity and logical consistency for general tasks.

Can glm-5/text-to-text call external tools?

Yes, glm-5/text-to-text is built for function calling. You can provide a list of tools, and glm-5/text-to-text will generate the correct parameters to execute them.

Is my data used to train glm-5/text-to-text?

When using glm-5/text-to-text on GPT Proto, we adhere to strict privacy standards. Your API data is not used for model training purposes.

How does the 'do_sample' parameter affect glm-5/text-to-text?

Setting 'do_sample' to true enables the sampling strategy for glm-5/text-to-text, allowing parameters like temperature and top_p to control randomness.

What happens if glm-5/text-to-text hits the token limit?

The glm-5/text-to-text model will return a 'finish_reason' of 'length'. On GPT Proto, you can monitor this to truncate or summarize context as needed.

Guides, comparisons, and updates related to this model.

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Unlock the Full Power of GLM-5 API: Premium Integration on GPT Proto

Master Complex Text Processing with the Cutting-Edge GLM-5 on GPT Proto

Elevate Professional Writing and Logical Reasoning via GLM-5 on GPT Proto

Seamless Multi-Turn Conversations with High Context Windows on GPT Proto

Experience Unmatched Reliability and Scalability Using GLM-5 on GPT Proto

Transparent Pricing and Direct Balance Management for GLM-5 on GPT Proto

What is the primary strength of glm-5/text-to-text compared to previous versions?

How do I manage the 128K context window in glm-5/text-to-text?

Does glm-5/text-to-text support structured output like JSON?

Is glm-5/text-to-text suitable for real-time applications?

Can I use glm-5/text-to-text for bilingual English-Chinese tasks?

How is billing handled for glm-5/text-to-text on GPT Proto?

Does glm-5/text-to-text require specific prompting techniques?

What is the default temperature for glm-5/text-to-text?

Can glm-5/text-to-text call external tools?

Is my data used to train glm-5/text-to-text?

How does the 'do_sample' parameter affect glm-5/text-to-text?

What happens if glm-5/text-to-text hits the token limit?

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