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Compare models

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

  1. Gemini 3.5 TranscribeGoogleRemove
  2. Gemini 3 Pro Image (Google Vertex AI)GoogleRemove
  3. GLM 5.3 FlashZ.AIRemove
gemini-3.5-transcribe vs gemini-3-pro-image-vertex vs glm-5.3-flash
AttributeGemini 3.5 Transcribegemini-3.5-transcribeGemini 3 Pro Image (Google Vertex AI)gemini-3-pro-image-vertexGLM 5.3 Flashglm-5.3-flash
Pricing
Input— Not priced per input token—$0.075 / 1M
Output— Not priced per output token—$0.25 / 1M
Cache Write (5m)Not applicableNot applicable$0.075 / 1M
Cache Write (1h)Not applicableNot applicable$0.075 / 1M
Cache ReadNot applicableNot applicable$0.075 / 1M
Web Search$0 / 1M—$0 / 1M
Request—$0.134 / request—
Billing—Pay Per Request—
Context
Max context98.3KN/A1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesNoYes
JSON ModeNoNoYes
StreamingNoNoYes
Catalogue
ProviderGoogleGoogleZ.AI
Categoryvoiceimagechat
Charge typePay As You GoPay Per RequestPay As You Go
Released2026-09-25——
Description
SummaryGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Gemini 3 Pro Image served from Google Vertex AI. Billed per image at US$0.134. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI.GLM-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.