Z-AI
GLM 5.2
Chat
The GLM 5.2 API delivers a frontier-class MoE model with a 1M context window. Optimized for autonomous coding and long-horizon tasks via Agentic-RL, it offers Claude-level performance with significant cost savings for developers.

Modalities

Input: TextInput: ImageInput: Document
Output: Text

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-5.2",
    "messages": [
      {
        "role": "user",
        "content": "Hello"
      }
    ]
  }'
GLM 5.2 pricing

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

Cost calculator

Multi-turn agent with cached context.
$1.26 / 1M$0.00189
$3.96 / 1M$0.003168
$0.234 / 1M$0.000702
$0.234 / 1M$0.00585
Cost per request$0.01161

Top up

GPTProto vs official pricing.
Requests
You pay
10% off
$100
You receive$100.00

Save$11.11 (10%)vs Z-AI

GLM 5.2 API Key Technical Features

Technical specifications that define the GLM 5.2 API as a leader in open-weight intelligence.

1M Token Context Window

Ingest entire monorepos or massive document sets. The GLM 5.2 API maintains high retrieval accuracy across 1,048,576 tokens without performance loss.

Agentic-RL Training

Optimized for autonomous workflows, the 5.2 model prevents objective drift during complex, multi-step tasks, ensuring high-fidelity results for coding agents.

IndexShare MoE Architecture

This innovative architecture reduces KV cache memory overhead by 2.9x, allowing for high-performance inference even when processing massive output sequences.

Selectable Reasoning Modes

Toggle between High and Max reasoning effort to balance speed and depth. Max mode is specifically tuned for architectural design and hard debugging.

Related Models
All Models
ModelInput → Output
GLM 5.2Current
1.05M$1.26 / $3.96 per 1M$0.23 / $0.23 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$4.00 / $20.00 per 1M$5.00 / $0.40 per 1M
Input: TextInput: ImageInput: Document
Output: Text
Gemini 3.6 Flash
1.05M$0.90 / $4.50 per 1M$0.09 / $0.09 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
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
Gemini 3.5 Flash
1.05M$0.90 / $5.40 per 1M$0.09 / $0.09 per 1M
Input: TextInput: ImageInput: Document
Output: Text
DeepSeek v4 Flash
—1.05M$0.14 / $0.28 per 1M— / $0.0028 per 1M
Input: Text
Output: Text
DeepSeek v4 Pro
1.05M$1.04 / $2.09 per 1M$0.0087 / $0.0087 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
GLM 5
205K$0.90 / $2.88 per 1M$0.18 / $0.18 per 1M
Input: TextInput: Document
Output: Text
Qwen Turbo
—$0.04 / $0.18 per 1M$0.009 / $0.009 per 1M
Input: Text
Output: Text
Doubao Seed 1.6 Thinking 250715
262K$0.10 / $0.97 per 1M—
Input: TextInput: Image
Output: Text
Doubao Seed 1.6 Thinking 250615
262K$0.10 / $0.97 per 1M—
Input: TextInput: Image
Output: Text
Doubao Seed 1.6 Flash 250615
262K$0.02 / $0.18 per 1M—
Input: TextInput: Image
Output: Text

GLM 5.2 API Frequently Asked Questions

Get answers to common questions about implementing the GLM 5.2 API in your production environment.

What makes the GLM 5.2 API unique for developers?

It offers a 1M-token context window with high retrieval accuracy. Unlike many models that struggle with long-form data, GLM 5.2 uses IndexShare architecture to manage memory efficiently, making it perfect for analyzing large codebases or complex legal documents at a fraction of the cost of closed models.

How does reasoning_effort work in the 5.2 model?

The 5.2 model introduces specific settings like High and Max effort. Max mode triggers deeper planning and verification loops, which are essential for tasks like architectural refactoring or security auditing where precision is more important than speed.

Is the GLM 5.2 API compatible with OpenAI SDKs?

Yes. You can easily integrate the GLM 5.2 API by updating your base URL and model name in existing OpenAI-compatible code. It supports tool-calling and structured JSON output, making migration from other frontier models seamless for engineering teams.

What are the licensing terms for the GLM 5.2 model?

The model is released under a permissive MIT license. This allows for unrestricted usage, including local deployment in private enterprise clouds, fine-tuning for specific industry data, and full commercial application without per-seat fees.

How does GLM 5.2 handle autonomous agent drift?

It is trained using Agentic-RL, a reinforcement learning framework specifically designed for long-horizon tasks. This training helps the model stay focused on the primary objective during autonomous loops that exceed 40 turns, reducing common drift issues.

What is the token throughput for the GLM 5.2 API?

The GLM 5.2 API typically delivers a Time to First Token (TTFT) of around 150ms. Once generating, users can expect a throughput of approximately 70 tokens per second, though this can vary slightly based on the selected reasoning effort level.