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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. GLM 5.3 FlashZ.AIRemove
  2. Gemini 3.5 TranscribeGoogleRemove
  3. Perceptron Mk1.5PerceptronRemove
glm-5.3-flash vs gemini-3.5-transcribe vs perceptron-mk1.5
AttributeGLM 5.3 Flashglm-5.3-flashGemini 3.5 Transcribegemini-3.5-transcribePerceptron Mk1.5perceptron-mk1.5
Pricing
Input$0.075 / 1M— Not priced per input token$0.15 / 1M
Output$0.25 / 1M— Not priced per output token$1.50 / 1M
Cache Write (5m)$0.075 / 1MNot applicable$0.15 / 1M
Cache Write (1h)$0.075 / 1MNot applicable$0.15 / 1M
Cache Read$0.075 / 1MNot applicable$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M98.3K36.9K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesNoNo
StreamingYesNoYes
Catalogue
ProviderZ.AIGooglePerceptron
Categorychatvoicechat
Charge typePay As You GoPay As You GoPay As You Go
Released—2026-09-252026-09-25
Description
SummaryGLM-5.3-Flash is Z.AI's efficient native multimodal model, designed for coding and long-horizon agentic workflows. It combines strong multimodal capabilities with an architecture optimized for responsive, cost-efficient task execution. Built on a hybrid sparse and linear attention architecture, GLM-5.3-Flash maintains accurate long-context behavior while reducing computational overhead, making it well suited for coding agents, extended multi-step tasks, and scalable production workloads.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.