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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 3.1 Flash Lite Image (Google Vertex AI)GoogleRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. GLM 5.3Z.AIRemove
gemini-3.1-flash-lite-image-vertex vs perceptron-mk1.5 vs glm-5.3
AttributeGemini 3.1 Flash Lite Image (Google Vertex AI)gemini-3.1-flash-lite-image-vertexPerceptron Mk1.5perceptron-mk1.5GLM 5.3glm-5.3
Pricing
Request$0.0336 / request——
BillingPay Per Request——
Cache Write (5m)Not applicable$0.15 / 1M$1.40 / 1M
Cache Write (1h)Not applicable$0.15 / 1M$1.40 / 1M
Cache ReadNot applicable$0.15 / 1M$1.40 / 1M
Input—$0.15 / 1M$1.40 / 1M
Output—$1.50 / 1M$4.40 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max contextN/A36.9K1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoNo
Function CallingNoNoYes
JSON ModeNoNoYes
StreamingNoYesYes
Catalogue
ProviderGooglePerceptronZ.AI
Categoryimagechatchat
Charge typePay Per RequestPay As You GoPay As You Go
Released—2026-09-25—
Description
SummaryGemini 3.1 Flash Lite Image served from Google Vertex AI. Billed per image at US$0.0336. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI. Maximum output resolution is 1K. A request for a larger size returns a 1K image with the same aspect ratio at the same price. When a size is reduced, the response carries an X-Image-Resolution-Capped header with the requested and delivered size.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.GLM-5.3 is Z.ai's large-scale reasoning model designed for complex software engineering and long-horizon agentic workflows. It supports text input and output with a 1M-token context window, enabling sustained reasoning across large codebases and extended multi-step tasks. Building on GLM-5.2, it delivers stronger coding performance while improving the balance between capability and token efficiency, making it well suited for autonomous coding agents, large-scale engineering workflows, and complex task execution.