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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 5.3Z.AIRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. Gemini 3.1 Flash Image (Google Vertex AI)GoogleEnterprise & partner accessRemove
glm-5.3 vs perceptron-mk1.5 vs gemini-3.1-flash-image-vertex
AttributeGLM 5.3glm-5.3Perceptron Mk1.5perceptron-mk1.5Gemini 3.1 Flash Image (Google Vertex AI)gemini-3.1-flash-image-vertex
Pricing
Input$1.40 / 1M$0.15 / 1M—
Output$4.40 / 1M$1.50 / 1M—
Cache Write (5m)$1.40 / 1M$0.15 / 1MNot applicable
Cache Write (1h)$1.40 / 1M$0.15 / 1MNot applicable
Cache Read$1.40 / 1M$0.15 / 1MNot applicable
Web Search$0 / 1M$0 / 1M—
Request——$0.067 / request
Billing——Pay Per Request
Context
Max context1M36.9KN/A
Max outputN/AN/AN/A
Capabilities
VisionNoNoYes
Function CallingYesNoNo
JSON ModeYesNoNo
StreamingYesYesNo
Catalogue
ProviderZ.AIPerceptronGoogle
Categorychatchatimage
Charge typePay As You GoPay As You GoPay Per Request
Released—2026-09-25—
Description
SummaryGLM-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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Gemini 3.1 Flash Image served from Google Vertex AI. Billed per image at US$0.067. 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 2K. A request for a larger size, such as 4K or 4096x4096, returns a 2K 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, for example 4096x4096->2048x2048.