Skip to content

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 Image (Google Vertex AI)GoogleEnterprise & partner accessRemove
  2. Kimi K3MoonShot AIRemove
gemini-3.1-flash-image-vertex vs kimi-k3
AttributeGemini 3.1 Flash Image (Google Vertex AI)gemini-3.1-flash-image-vertexKimi K3kimi-k3
Pricing
Request$0.067 / request—
BillingPay Per Request—
Cache Write (5m)Not applicable$3.00 / 1M
Cache Write (1h)Not applicable$3.00 / 1M
Cache ReadNot applicable$3.00 / 1M
Input—$3.00 / 1M
Output—$15.00 / 1M
Web Search—$0 / 1M
Context
Max contextN/A1M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingNoYes
JSON ModeNoYes
StreamingNoYes
Catalogue
ProviderGoogleMoonShot AI
Categoryimagechat
Charge typePay Per RequestPay As You Go
Released——
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.Kimi K3 is Moonshot AI's 2.8T-parameter open-weight multimodal reasoning model, designed for complex coding, knowledge work, and long-horizon agentic workflows. It excels at repository-scale development, tool use, debugging, and iterative problem solving across text, images, logs, tests, and runtime feedback. Built with KDA and Attention Residuals for improved computational efficiency, Kimi K3 delivers strong performance on advanced engineering and multimodal reasoning tasks, making it well suited for autonomous coding agents and large-scale production workflows.