GLM-5.3-Flash API
Released August 26, 2026. A 320B-parameter model with 18B active per token, trained on 30T multimodal tokens with a hybrid KDA linear plus sparse MLA attention stack that cuts attention compute ~3x and KV cache ~4.4x. Native text, image, video, and file input at 1M context, with MIT open weights.
💰 Save up to 70% vs official Zhipu AI pricingGLM-5.3-Flash — cheaper than the official Zhipu AI API
Access GLM-5.3-Flash 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-Flash |
| Release Date | 2026-08 |
| Context Window | 1M |
| Max Output Tokens | 131,072 |
| Input Price | $0.11 / 1M tokens |
| Output Price | $0.39 / 1M tokens |
| Vision Support | Yes ✓ |
| Function Calling | Yes ✓ |
| JSON Mode | No |
| Streaming | Yes ✓ |
| Fine Tuning | Available |
| Status | Active ✓ |
Overview
GLM-5.3-Flash is Zhipu AI's current glm model, released in 2026-08. Released August 26, 2026. A 320B-parameter model with 18B active per token, trained on 30T multimodal tokens with a hybrid KDA linear plus sparse MLA attention stack that cuts attention compute ~3x and KV cache ~4.4x. Native text, image, video, and file input at 1M context, with MIT open weights.
For developers, the headline numbers are a 1M context window and up to 131,072 output tokens per response — enough headroom for highest-scoring open flash model and native multimodal without chunking your input. Priced at $0.11/1M input and $0.39/1M output, it sits in the budget tier — ideal for high-volume pipelines where token cost dominates.
On the capability side, GLM-5.3-Flash exposes 5 features: Vision, Video, Tool Use, Bilingual, Streaming. Fine-tuning is on the table if you need to specialize behavior on your own data. Vision support means you can pass images alongside text, handy for document parsing or UI automation.
The practical appeal of routing GLM-5.3-Flash 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-Flash Different
How GLM-5.3-Flash is used
GLM-5.3-Flash is used for text-to-video and image-to-video generation. You send a prompt or reference image, receive a video clip back. Common pipelines: marketing asset generation, storyboarding, social content, and visual prototyping. It doesn't handle text chat — route text workloads to a language model.
Pricing position within Zhipu AI
GLM-5.3-Flash sits in the middle of Zhipu AI's pricing at $0.11/1M input — 82% below the lineup average ($0.00 cheapest, $1.40 most expensive). 1 sibling cost less, 4 cost more. This mid-tier positioning makes it a sensible default when you're unsure which variant to pick.
GLM-5.3-Flash's role in the lineup
Within Zhipu AI's lineup, GLM-5.3-Flash is a mid-tier option — balanced between cost and capability. The glm family has 7 active variants, and GLM-5.3-Flash occupies the lower 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: marketing video generation from product descriptions, social media content creation, storyboarding for video production, and visual prototyping for design teams. GLM-5.3-Flash outputs video clips directly — no separate rendering pipeline needed.
vs sibling models
What makes GLM-5.3-Flash different from sibling models: compared to GLM-5.3 ($1.00/1M more expensive, same 1M context); GLM-5.2 ($1.29/1M more expensive, same 1M context); GLM-5.1 ($0.74/1M more expensive, 128K vs 1M context (smaller)). Choose GLM-5.3-Flash when vision input is needed.
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-flash",
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-flash",
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-flash",
"messages": [
{"role": "user", "content": "Hello"}
]
}'Supported Features
| Vision / Image Input | ✅ Supported |
| 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-Flash was released in 2026-08 by Zhipu AI and is currently publicly available via AI API Hub.
Current Pricing: $0.11 per 1M input tokens · $0.39 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.
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Frequently Asked Questions
What is GLM-5.3-Flash?
GLM-5.3-Flash is Zhipu AI's current glm model. Released August 26, 2026. A 320B-parameter model with 18B active per token, trained on 30T multimodal tokens with a hybrid KDA linear plus sparse MLA attention stack that cuts attention compute ~3x and KV cache ~4.4x. Native text, image, video, and file input at 1M context, with MIT open weights. It offers a 1M context window and supports Vision, Video, Tool Use. You can access it through AI API Hub using USDT or USDC — no credit card required.
How much does GLM-5.3-Flash cost?
GLM-5.3-Flash is priced at $0.11 per 1M input tokens and $0.39 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-Flash vs GPT-6 Astra?
They're built for different jobs. GLM-5.3-Flash costs $0.11/1M input with a 1M window; GPT-6 Astra runs $10.00/1M input with 1M. GLM-5.3-Flash is the more cost-effective pick and still brings highest-scoring open flash model. See the full side-by-side at /compare/glm-5.3-flash-vs-gpt-6-astra/.
GLM-5.3-Flash context window?
GLM-5.3-Flash 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-Flash support function calling?
Yes, GLM-5.3-Flash 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-Flash multimodal?
Partially — GLM-5.3-Flash supports vision (image input) but not native audio processing.
GLM-5.3-Flash API rate limits?
GLM-5.3-Flash rate limits: 10K 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-Flash API?
Access GLM-5.3-Flash 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-flash". Start building in under 30 seconds.