Models

glm-5.3-flash β€” API, Pricing & Context Window | Vivgrid

glm-5.3-flash on Vivgrid: Zhipu AI's fast, low-cost multimodal model with image, video, and audio input, a 1M-token context window, and up to 384K output tokens.

glm-5.3-flash is Zhipu AI's lightweight sibling to glm-5.3. It trades the flagship's coding-benchmark tuning for speed and price, and adds image, video, and audio input β€” so the same request can reason over text alongside media. It keeps the line's 1M-token context window and 384K-token max output.

On Vivgrid, glm-5.3-flash is reachable through the unified, OpenAI-compatible endpoint, so it integrates cleanly alongside models from OpenAI, Anthropic, Google, and DeepSeek under one API key.

Specifications

ProviderZhipu AI
Model IDglm-5.3-flash
Best forCoding
Context window1,000,000 tokens
Max output384,000 tokens
ModalitiesText, Image, Video, Audio
Tool / function callingYes
Knowledge cutoff2026-01
Acceleration🌐 Global (Centralized)

Pricing

Pricing in USD per 1M tokens, matching the provider's rates.

InputCached inputOutput
$0.15$0.04$0.50

Quick start

Call glm-5.3-flash through Vivgrid's unified, OpenAI-compatible endpoint. Get an API key from the Vivgrid Console.

curl https://api.vivgrid.com/v1/chat/completions \
  -H "Authorization: Bearer $VIVGRID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5.3-flash",
    "messages": [
      { "role": "user", "content": "Say hello in English, Chinese and Spanish." }
    ],
    "stream": true
  }'

Ideal use cases

  • High-volume, cost-sensitive agent traffic that still needs tool calling
  • Multimodal steps that mix text with image, video, or audio input
  • Whole-repository reasoning within a 1M-token context at low cost
  • Draft or first-pass generation ahead of a flagship model's final pass
  • glm-5.3 β€” the flagship, text-only coding model this is derived from
  • glm-5.2 β€” prior-generation flagship, same price as glm-5.3
  • deepseek-v4-flash-vision-exp β€” alternative low-cost multimodal model

On this page