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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. Perceptron Mk1.5PerceptronRemove
  3. GLM 5Z.AIRemove
gemini-3.1-flash-image-vertex vs perceptron-mk1.5 vs glm-5
AttributeGemini 3.1 Flash Image (Google Vertex AI)gemini-3.1-flash-image-vertexPerceptron Mk1.5perceptron-mk1.5GLM 5glm-5
Pricing
Request$0.067 / request——
BillingPay Per Request——
Cache Write (5m)Not applicable$0.15 / 1M$0.60 / 1M
Cache Write (1h)Not applicable$0.15 / 1M$0.60 / 1M
Cache ReadNot applicable$0.15 / 1M$0.60 / 1M
Input—$0.15 / 1M$0.60 / 1M
Output—$1.50 / 1M$2.20 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max contextN/A36.9K202.8K
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
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 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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.GLM-5 is Z.AI's flagship open-source foundation model, engineered for complex systems design and long-horizon agent workflows. Built with expert developers in mind, it delivers production-grade performance on large-scale programming tasks, rivaling leading closed-source models. With strong agentic planning, deep backend reasoning, and iterative self-correction capabilities, GLM-5 extends beyond traditional code generation to support full-system construction and autonomous execution, making it well suited for advanced engineering and agent-driven development environments.