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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. Gemini 3.1 Flash Image (Google Vertex AI)GoogleEnterprise & partner accessRemove
  2. GLM 5.3Z.AIRemove
  3. Perceptron Mk1.5PerceptronRemove
gemini-3.1-flash-image-vertex vs glm-5.3 vs perceptron-mk1.5
AttributeGemini 3.1 Flash Image (Google Vertex AI)gemini-3.1-flash-image-vertexGLM 5.3glm-5.3Perceptron Mk1.5perceptron-mk1.5
Pricing
Request$0.067 / request——
BillingPay Per Request——
Cache Write (5m)Not applicable$1.40 / 1M$0.15 / 1M
Cache Write (1h)Not applicable$1.40 / 1M$0.15 / 1M
Cache ReadNot applicable$1.40 / 1M$0.15 / 1M
Input—$1.40 / 1M$0.15 / 1M
Output—$4.40 / 1M$1.50 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max contextN/A1M36.9K
Max outputN/AN/AN/A
Capabilities
VisionYesNoNo
Function CallingNoYesNo
JSON ModeNoYesNo
StreamingNoYesYes
Catalogue
ProviderGoogleZ.AIPerceptron
Categoryimagechatchat
Charge typePay Per RequestPay As You GoPay As You Go
Released——2026-09-25
Description
SummaryGemini 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.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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.