GLM-5.2 API
Zhipu's open-weight coding flagship. A 753B-parameter MoE with 1M context and MIT weights — the strongest open-weight coding model of 2026 at $1.40/$4.40.
💰 Save up to 70% vs official Zhipu AI pricingGLM-5.2 — cheaper than the official Zhipu AI API
Access GLM-5.2 through AI API Hub and pay less per token. Same OpenAI-compatible endpoint, lower cost.
Technical Specifications
| Provider | Zhipu AI |
| Model Family | GLM-5.2 |
| Release Date | 2026-06 |
| Context Window | 1M |
| Max Output Tokens | 131,072 |
| Input Price | $1.40 / 1M tokens |
| Output Price | $4.40 / 1M tokens |
| Vision Support | No |
| Function Calling | Yes ✓ |
| JSON Mode | No |
| Streaming | Yes ✓ |
| Fine Tuning | Available |
| Status | Active ✓ |
Overview
GLM-5.2 is Zhipu AI's current glm model, released in 2026-06. Zhipu's open-weight coding flagship. A 753B-parameter MoE with 1M context and MIT weights — the strongest open-weight coding model of 2026 at $1.40/$4.40.
For developers, the headline numbers are a 1M context window and up to 131,072 output tokens per response — enough headroom for open-weight (mit) and repo-scale coding without chunking your input. Priced at $1.40/1M input and $4.40/1M output, it sits in the mid-range — a sensible default for most production workloads.
On the capability side, GLM-5.2 exposes 4 features: Code Generation, Tool Use, Bilingual, Streaming. Fine-tuning is on the table if you need to specialize behavior on your own data. It's text-only, so route image or audio workloads elsewhere.
The practical appeal of routing GLM-5.2 through AI API Hub is simplicity: one OpenAI-compatible endpoint, USDT & USDC payments, no credit card, and you're calling the API in under 30 seconds — just swap your base URL.
What Makes GLM-5.2 Different
How GLM-5.2 is used
GLM-5.2 is used for code completion, inline suggestions, test generation, and bulk refactoring. It's tuned for low-latency developer-facing workflows. For reasoning-heavy or multi-step architecture decisions, consider a reasoning-tuned sibling model.
Pricing position within Zhipu AI
GLM-5.2 is the most expensive active model from Zhipu AI at $1.40/1M input — the premium tier. The cheapest sibling costs $0.00/1M (100% less). Reserve GLM-5.2 for tasks where its capabilities justify the premium; route bulk traffic to cheaper siblings.
GLM-5.2's role in the lineup
Within Zhipu AI's lineup, GLM-5.2 is the flagship — the most capable and most expensive option. It's part of the glm family (5 active variants share this family). Use it when quality matters more than cost; switch to a cheaper sibling for high-volume or less demanding tasks.
Real-world use cases
Real-world deployments: inline code completion in IDEs, automated test generation, bulk code refactoring pipelines, and code review bots. GLM-5.2 is tuned for low-latency developer workflows where response speed matters as much as code quality.
vs sibling models
What makes GLM-5.2 different from sibling models: compared to GLM-5.1 ($0.55/1M cheaper, 128K vs 1M context (smaller)); GLM-5-Turbo ($0.70/1M cheaper, 128K vs 1M context (smaller)); GLM-4.5-Air ($1.29/1M cheaper, 128K vs 1M context (smaller)). Choose GLM-5.2 when code generation is the primary task.
API Examples
Python
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.apiyihe.org/v1"
)
response = client.chat.completions.create(
model="glm-5.2",
messages=[
{"role": "user", "content": "Hello"}
]
)
print(response.choices[0].message.content)JavaScript / Node.js
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.API_KEY,
baseURL: "https://api.apiyihe.org/v1"
});
const response = await client.chat.completions.create({
model: "glm-5.2",
messages: [
{ role: "user", content: "Hello" }
]
});
console.log(response.choices[0].message.content);cURL
curl https://api.apiyihe.org/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "glm-5.2",
"messages": [
{"role": "user", "content": "Hello"}
]
}'Supported Features
| Vision / Image Input | ❌ Not Available |
| Audio / Voice Input | ❌ Not Available |
| Function Calling | ✅ Supported |
| JSON Mode | ❌ Not Available |
| Streaming | ✅ Supported |
| Fine-Tuning | ✅ Available |
| Multimodal | ❌ Not Available |
Benchmark Scores
| Benchmark | Score |
|---|---|
| MMLU | Not Publicly Available |
| GPQA | Not Publicly Available |
| SWE-Bench | Not Publicly Available |
| HumanEval | Not Publicly Available |
| GSM8K | Not Publicly Available |
| MATH | Not Publicly Available |
| MMMU | Not Publicly Available |
Pricing History
GLM-5.2 was released in 2026-06 by Zhipu AI and is currently publicly available via AI API Hub.
Current Pricing: $1.40 per 1M input tokens · $4.40 per 1M output tokens. Pay-as-you-go with no minimum commitment.
Pricing Model: Token-based billing (pay per use). No subscription fees. No hidden costs. Fine-tuning incurs additional costs at training and inference time.
💡 Zhipu AI occasionally updates pricing. AI API Hub reflects current pricing in real-time. All prices in USD. Pay with USDT or USDC — no currency conversion fees.
Compare Alternatives
Frequently Asked Questions
What is GLM-5.2?
GLM-5.2 is Zhipu AI's current glm model. Zhipu's open-weight coding flagship. A 753B-parameter MoE with 1M context and MIT weights — the strongest open-weight coding model of 2026 at $1.40/$4.40. It offers a 1M context window and supports Code Generation, Tool Use, Bilingual. You can access it through AI API Hub using USDT or USDC — no credit card required.
How much does GLM-5.2 cost?
GLM-5.2 is priced at $1.40 per 1M input tokens and $4.40 per 1M output tokens, billed pay-as-you-go with no minimum. Through AI API Hub you can start with as little as $5 and scale from there.
GLM-5.2 vs GPT-5.6 Sol?
They're built for different jobs. GLM-5.2 costs $1.40/1M input with a 1M window; GPT-5.6 Sol runs $5.00/1M input with 1M. GLM-5.2 is the more cost-effective pick and still brings open-weight (mit). See the full side-by-side at /compare/glm-5.2-vs-gpt-5.6-sol/.
GLM-5.2 context window?
GLM-5.2 has a 1M context window, capable of processing up to 1,048,576 tokens in a single request. Maximum output tokens: 131,072.
Does GLM-5.2 support function calling?
Yes, GLM-5.2 supports function/tool calling, allowing you to define functions that the model can invoke. This enables AI agents, API integrations, and structured data extraction.
Is GLM-5.2 multimodal?
No, GLM-5.2 is a text-only model. For multimodal use cases, consider models with vision/audio capabilities.
GLM-5.2 API rate limits?
GLM-5.2 rate limits: 5K RPM. Higher tier plans offer increased throughput. For high-volume production use, consider Zhipu AI's faster variant models.
How to access GLM-5.2 API?
Access GLM-5.2 through AI API Hub: (1) Register at api.apiyihe.org/register?aff=8JZC, (2) Deposit USDT/USDC, (3) Get your API key instantly, (4) Use the OpenAI-compatible endpoint https://api.apiyihe.org/v1 with model name "glm-5.2". Start building in under 30 seconds.