GLM 5

The glm-5/web-search model is a high-performance tool engineered to bridge the gap between static AI knowledge and the dynamic, ever-changing landscape of the live internet. By utilizing the search-prime premium engine, glm-5/web-search enables developers to equip their large language models with real-time data retrieval capabilities. Unlike traditional search engines aimed at human readability, glm-5/web-search prioritizes structural metadata, concise summaries, and intent recognition, making it an essential component for modern Retrieval-Augmented Generation (RAG) workflows on the GPT Proto platform.

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

Estimate a request with real work scenarios. GPTProto token pricing is 10% below official rates.

Cost calculator

Multi-turn agent with cached context.

Input tokens$0.9 / 1M$0.00135

Output tokens$2.88 / 1M$0.002304

Cache write tokens$0.18 / 1M$0.00054

Cache read tokens$0.18 / 1M$0.0045

Cost per request$0.008694

Top up

GPTProto vs official pricing.

Requests

You pay

10% off

$100

You receive$100.00

Save$11.11 (10%)vs Z-AI official

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Claude Opus 5		1M	$4.00 / $20.00 per 1M	$5.00 / $0.40 per 1M	Input: TextInput: ImageInput: Document Output: Text
Gemini 3.6 Flash		1.05M	$0.45 / $2.25 per 1M	— / $0.04 per 1M	Input: TextInput: ImageInput: Document Output: Text
Gemini 3.5 Flash Lite		1.05M	$0.18 / $1.50 per 1M	$0.02 / $0.02 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
GPT 5.6 Sol		1.05M	$4.00 / $24.00 per 1M	$5.00 / $0.40 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	$1.60 / $8.00 per 1M	$2.00 / $0.16 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
Claude Fable 5		1M	$8.00 / $40.00 per 1M	$10.00 / $0.80 per 1M	Input: TextInput: 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	$0.44 / $1.32 per 1M	— / $0.01 per 1M	Input: Text Output: Text
DeepSeek v4 Pro	—	1.05M	$1.32 / $3.96 per 1M	— / $0.04 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
DeepSeek v3.2		164K	$0.17 / $0.25 per 1M	$0.02 / $0.02 per 1M	Input: Text 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
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Doubao Seed 1.6 Flash (Build 250615)		262K	$0.02 / $0.18 per 1M	—	Input: TextInput: Image Output: Text

Mastering Real-Time Data Retrieval with glm-5/web-search

The digital world moves faster than any training cycle can keep up with. To build truly intelligent applications, you need glm-5/web-search, a specialized search protocol that allows your AI to browse the web with human-like intent but machine-like efficiency. Discover how to deploy this powerful tool on GPT Proto today.

The Critical Pain Point: Static Knowledge vs. Live Reality

One of the primary limitations of standard large language models is the 'knowledge cutoff.' Even the most advanced models are frozen in the time they were trained. For financial analysis, news monitoring, or competitive research, this limitation leads to hallucinations or irrelevant advice. The glm-5/web-search tool solves this by providing a programmatic gateway to the live web, specifically optimized for LLM consumption. It doesn't just return links; it returns context.

Technical Deep Dive: The search-prime Advantage

At the heart of glm-5/web-search is the 'search-prime' engine. While standard search APIs focus on SEO and advertising clicks, glm-5/web-search on GPT Proto utilizes advanced intent recognition to filter out noise. When a query is sent, the model identifies the core information requirement and fetches results including webpage titles, direct URLs, content summaries, site names, and even favicons for UI consistency. Developers can fine-tune their requests using parameters like count (up to 50 results), search_domain_filter for whitelisting specific high-authority sources, and search_recency_filter to isolate data from the last 24 hours to the last year.

Specific Use Case A: Automated Market Intelligence

In the fast-paced world of venture capital or product management, staying updated on competitor launches is a full-time job. By integrating glm-5/web-search into an automated agent on GPT Proto, companies can perform daily 'scans' of industry-specific domains. For instance, using the oneDay recency filter, an agent can summarize all new press releases from a list of 20 competitors, providing a breakfast-table report for executives without a single minute of manual browsing.

Specific Use Case B: Dynamic Fact-Checking for Content Creation

Content creators often struggle with citing the latest statistics. A writing assistant powered by glm-5/web-search can verify claims in real-time. If a user writes about current inflation rates, the model triggers glm-5/web-search to fetch the latest bureau reports, ensuring the output is not only stylistically perfect but factually unassailable. This experience-led workflow reduces the risk of reputational damage caused by AI-generated inaccuracies.

"The difference between a standard search API and glm-5/web-search is the 'signal-to-noise' ratio. For LLMs, a summary that captures the semantic essence of a page is worth more than ten pages of raw HTML code." — Lead Architect at GPT Proto.

Maximum Stability and Scalability on GPT Proto

Deploying glm-5/web-search through the GPT Proto infrastructure ensures your application remains robust under heavy traffic. Our platform provides specialized caching and request management to minimize latency, ensuring that your real-time data retrieval doesn't slow down the user experience. For detailed technical integration steps, visit our official documentation.

Feature	Standard Search APIs	glm-5/web-search on GPT Proto
Intent Recognition	Basic Keyword Matching	LLM-Optimized Semantic Mapping
Recency Control	Often Delayed	Real-time (oneDay to oneYear)
Output Format	Raw HTML/Snippets	Clean Summaries & Structured Metadata
Domain Filtering	Manual URL Parsing	Native Whitelist Integration

Transparent Pricing & Ease of Access

We believe in straightforward usage. On GPT Proto, you never deal with complex credit systems. Simply Add Funds or Top-up Balance to your account to start making calls to the glm-5/web-search endpoint. You can monitor your consumption and manage your Recharge Amount directly in the Billing Center. Manage your active API keys and track live requests via the User Dashboard.

As AI continues to evolve, the ability to interact with the world in real-time will define the winners of the next generation of software. By leveraging glm-5/web-search on GPT Proto, you are giving your models the eyes they need to see the world as it is right now. For more insights on building real-time AI agents, follow our official blog.

Understanding the glm-5/web-search Capability Suite

Common inquiries regarding the integration and technical limits of glm-5/web-search on the GPT Proto platform.

What is the primary search engine used by glm-5/web-search?

The glm-5/web-search tool utilizes the 'search-prime' premium version search engine, which is specifically tuned for large language model intent recognition.

How many results can I retrieve in a single glm-5/web-search call?

A single call to glm-5/web-search supports a result count ranging from 1 to 50, with a default of 10 results.

Does glm-5/web-search support filtering by specific websites?

Yes, you can use the search_domain_filter in glm-5/web-search to restrict results to specific whitelisted domains, such as news sites or technical documentation.

Can I get results from only the last 24 hours using glm-5/web-search?

Absolutely. By setting the search_recency_filter to 'oneDay', glm-5/web-search will only return content published or updated within the last 24 hours.

What kind of metadata does glm-5/web-search provide in its response?

The glm-5/web-search response includes the page title, a content summary, the direct link, the website name (media), the site icon, and the publication date.

Is glm-5/web-search suitable for RAG (Retrieval-Augmented Generation)?

Yes, glm-5/web-search is specifically designed for RAG workflows, providing clean summaries that fit easily into an LLM's context window.

How do I handle authentication for the glm-5/web-search API on GPT Proto?

You use a Bearer token in your HTTP header. Once you top-up balance on GPT Proto, your API key will be authorized to access glm-5/web-search.

Does glm-5/web-search recognize the user's language?

You can configure the 'Accept-Language' header when calling glm-5/web-search to request results in specific languages like English (en-US).

What happens if glm-5/web-search cannot find any relevant results?

If no relevant data is found, glm-5/web-search will return an empty search_result array, which your application should handle as a lack of live context.

Can I use glm-5/web-search to track a specific user's requests?

Yes, you can pass a unique user_id (6-128 characters) to glm-5/web-search to help monitor and intervene in potential policy abuses.

Is there a limit to the length of the search_query in glm-5/web-search?

While the documentation doesn't specify a hard character limit, it is recommended to keep the glm-5/web-search query concise and targeted for better intent recognition.

How do I pay for my glm-5/web-search usage on GPT Proto?

You can simply add funds to your GPT Proto balance. We don't use a credits system; your usage of glm-5/web-search is deducted from your actual recharge amount.

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