GLM-5.3 API
Released August 28, 2026. GLM-5.3 keeps the GLM-5.2 744B MoE base and applies pure post-training, gaining roughly 50% better coding on Terminal Bench 3.0 and near-frontier cybersecurity ability. Three selectable thinking depths with a 1M context window.
💰 Save up to 70% vs official Zhipu AI pricingGLM-5.3 — cheaper than the official Zhipu AI API
Access GLM-5.3 through AI API Hub and pay less per token. Same OpenAI-compatible endpoint, lower cost.
Technical Specifications
| Provider | Zhipu AI |
| Model Family | GLM-5.3 |
| Release Date | 2026-08 |
| Context Window | 1M |
| Max Output Tokens | 131,072 |
| Input Price | $1.11 / 1M tokens |
| Output Price | $3.89 / 1M tokens |
| Vision Support | No |
| Function Calling | Yes ✓ |
| JSON Mode | No |
| Streaming | Yes ✓ |
| Fine Tuning | Available |
| Status | Active ✓ |
Overview
GLM-5.3 is Zhipu AI's current glm model, released in 2026-08. Released August 28, 2026. GLM-5.3 keeps the GLM-5.2 744B MoE base and applies pure post-training, gaining roughly 50% better coding on Terminal Bench 3.0 and near-frontier cybersecurity ability. Three selectable thinking depths with a 1M context window.
For developers, the headline numbers are a 1M context window and up to 131,072 output tokens per response — enough headroom for post-trained on glm-5.2 base and three thinking depths without chunking your input. Priced at $1.11/1M input and $3.89/1M output, it sits in the mid-range — a sensible default for most production workloads.
On the capability side, GLM-5.3 exposes 5 features: Code Generation, Tool Use, Bilingual, Reasoning, 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-5.3 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-5.3 Different
How GLM-5.3 is used
GLM-5.3 is deployed where problems need step-by-step reasoning before code output — complex bug fixes, algorithmic implementation, math-heavy analysis, and multi-step refactoring. The internal chain-of-thought adds latency (expect slower responses), so don't route high-volume simple queries here. Use it for the hard 10% of tasks where cheaper models fail.
Pricing position within Zhipu AI
GLM-5.3 sits in the middle of Zhipu AI's pricing at $1.11/1M input — 82% above the lineup average ($0.00 cheapest, $1.40 most expensive). 5 siblings cost less, 1 cost more. This mid-tier positioning makes it a sensible default when you're unsure which variant to pick.
GLM-5.3's role in the lineup
Within Zhipu AI's lineup, GLM-5.3 is a mid-tier option — balanced between cost and capability. The glm family has 7 active variants, and GLM-5.3 occupies the upper end. This makes it a safe default for production workloads where you're not sure which tier to pick.
Real-world use cases
Real-world deployments: autonomous coding agents that fix complex bugs across multi-file codebases, algorithmic problem solving, math-heavy data analysis pipelines, and automated code review for architecture-level decisions. Teams route the simple 90% of coding tasks to cheaper models and reserve GLM-5.3 for the hard 10%.
vs sibling models
What makes GLM-5.3 different from sibling models: compared to GLM-5.3-Flash ($1.00/1M cheaper, same 1M context); GLM-5.2 ($0.29/1M more expensive, same 1M context); GLM-5.1 ($0.26/1M cheaper, 128K vs 1M context (smaller)). Choose GLM-5.3 when step-by-step reasoning matters more than speed.
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-5.3",
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-5.3",
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-5.3",
"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-5.3 was released in 2026-08 by Zhipu AI and is currently publicly available via AI API Hub.
Current Pricing: $1.11 per 1M input tokens · $3.89 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-5.3?
GLM-5.3 is Zhipu AI's current glm model. Released August 28, 2026. GLM-5.3 keeps the GLM-5.2 744B MoE base and applies pure post-training, gaining roughly 50% better coding on Terminal Bench 3.0 and near-frontier cybersecurity ability. Three selectable thinking depths with a 1M context window. 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-5.3 cost?
GLM-5.3 is priced at $1.11 per 1M input tokens and $3.89 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-5.3 vs GPT-6 Astra?
They're built for different jobs. GLM-5.3 costs $1.11/1M input with a 1M window; GPT-6 Astra runs $10.00/1M input with 1M. GLM-5.3 is the more cost-effective pick and still brings post-trained on glm-5.2 base. See the full side-by-side at /compare/glm-5.3-vs-gpt-6-astra/.
GLM-5.3 context window?
GLM-5.3 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-5.3 support function calling?
Yes, GLM-5.3 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-5.3 multimodal?
No, GLM-5.3 is a text-only model. For multimodal use cases, consider models with vision/audio capabilities.
GLM-5.3 API rate limits?
GLM-5.3 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-5.3 API?
Access GLM-5.3 through AI API Hub: (1) Register at z.apiyihe.org/register?aff=ZVtr, (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-5.3". Start building in under 30 seconds.