Complete Guide to Free GLM-4.7-Flash Tokens: Zero-Cost Access to 200K Context Model
Purchase Guide
GLM-4.7-Flash is a lightweight large language model released by Zhipu AI in January 2026. As a MoE (Mixture of Experts) model with 30B total parameters and 3B activated parameters per token, it balances performance and efficiency — and it is completely free for API access. This article provides a detailed overview of its free quota, usage limits, and integration methods to help you get started quickly.
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1. Model Overview & Technical Specifications
GLM-4.7-Flash is a text‑in/text‑out model that delivers significant improvements in coding, reasoning, and agentic capabilities. Key technical parameters are:
| Parameter | Specification |
|---|---|
| Total Parameters | 30B (MoE architecture) |
| Activated Parameters | 3B (only part of experts activated per token) |
| Context Window | 200K tokens |
| Max Output Tokens | 128K tokens |
| SWE-bench Verified | 59.2 points |
The model is optimised for Agentic Coding scenarios, with enhanced coding abilities, long‑horizon task planning, and tool‑orchestration capabilities. It shows stronger instruction‑following during tool calls, improved front‑end aesthetics, and better efficiency in long‑running tasks.
2. Free Quota & Pricing
Completely Free API Calls
GLM-4.7-Flash is available on Zhipu AI’s open platform (BigModel.cn) and offered free of charge for basic token usage.
New User Bonus
New users registering on the platform receive 20 million free tokens — with no expiry date, no rate‑limit cap, and no requirement to bind a payment method. Based on an average consumption of 12K tokens per single agentic task (using OpenClaw defaults), 20 million tokens can sustain about 1,666 full tasks, which is ample for individual developers and small teams.
Paid Upgrade Option
For higher concurrency and more stable service, you can opt for the paid version GLM-4.7-FlashX, priced at approximately $0.072 per million input tokens. Flash and FlashX are essentially the same model; the difference is that Flash is free with rate limits, while FlashX is paid and offers better stability for production environments.
Optional Feature Fees
The built‑in web search function is enabled via tool_web_search and incurs an extra charge per request. On the Ofox platform, web search tool calls cost about $0.01 per 1,000 requests.
3. Usage Limits
Rate Limits
The free tier of GLM-4.7-Flash limits concurrent requests to 1, i.e., approximately 1 request per second (1 QPS). This is sufficient for personal development and small‑scale projects.
Real‑Name Verification
Free access requires real‑name verification (identity authentication) to be completed.
Text‑Only Model
GLM-4.7-Flash is a text‑only model; it does not support multimodal inputs (images, audio, etc.).
4. Integration Methods
Method 1: Direct Call via Zhipu Open Platform (BigModel.cn)
This is the officially recommended approach. Developers need to:
- Visit BigModel.cn, register, and complete real‑name verification.
- Obtain an API Key.
- Call the model through the official API endpoints.
Method 2: Via Aggregator Platforms (e.g., OfoxAI)
Ofox provides GLM-4.7-Flash under the model ID z-ai/glm-4.7-flash:free, offering an OpenAI‑compatible endpoint without the need for a separate Zhipu account. Key parameters are:
{
"id": "z-ai/glm-4.7-flash:free",
"name": "Z.ai: GLM-4.7-Flash (Free)",
"context_length": 200000,
"pricing": {
"prompt": "0",
"completion": "0",
"web_search": "0.01"
},
"supported_parameters": [
"temperature", "top_p", "max_tokens",
"stop", "tools", "tool_choice", "response_format"
]
}Supported Tools & Frameworks
GLM-4.7-Flash supports a “think‑then‑act” mechanism within programming frameworks such as Claude Code, Kilo Code, TRAE, Cline, and Roo Code. The model weights are open‑sourced and available for download on Hugging Face, with native support in vLLM and Ollama 0.14.3.
Example Call
The official documentation provides complete code examples for quick integration. Since the model supports the standard OpenAI‑compatible API format, you can integrate it just like any mainstream LLM.
5. Recommended Use Cases
According to the official docs, GLM-4.7-Flash is well‑suited for:
- Agentic Coding – autonomously understanding goals, breaking down tasks, and integrating multiple technology stacks.
- Multimodal interaction & real‑time applications – supporting camera input, live interaction, and control.
- Front‑end visual aesthetics – generating UI code with improved visual appeal.
- High‑quality dialogue & complex problem solving – maintaining consistent context across multi‑turn conversations.
- Immersive writing & character‑driven storytelling – delivering nuanced and expressive text.
- Professional PPT/poster generation – improving layout adherence and aesthetic stability.
- Intelligent search & deep research – integrating information retrieval with result synthesis.
6. Summary
GLM-4.7-Flash offers developers a zero‑cost, high‑performance LLM API option. With a 200K context window, 128K max output, 30B‑scale model capability, and a 20‑million‑token new‑user bonus, it is more than enough for personal projects, prototyping, and small‑to‑medium applications. Although the free tier imposes a 1‑QPS rate limit and requires real‑name verification, it remains an extremely attractive choice for budget‑conscious developers.
For further details, please refer to the official Zhipu AI documentation:
https://docs.bigmodel.cn/cn/guide/models/free/glm-4.7-flash (Chinese) – English translations of the key points are covered above.
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