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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 2.5 Flash LiteGoogleRemove
  2. Gemini 3.1 Flash Lite Image (Google Vertex AI)GoogleRemove
gemini-2.5-flash-lite vs gemini-3.1-flash-lite-image-vertex
AttributeGemini 2.5 Flash Litegemini-2.5-flash-liteGemini 3.1 Flash Lite Image (Google Vertex AI)gemini-3.1-flash-lite-image-vertex
Pricing
Input$0.15 / 1M—
Output$0.60 / 1M—
Cache Write (5m)$0.15 / 1MNot applicable
Cache Write (1h)$0.15 / 1MNot applicable
Cache Read$0.15 / 1MNot applicable
Web Search$0 / 1M—
Request—$0.0336 / request
Billing—Pay Per Request
Context
Max context1.0MN/A
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesNo
JSON ModeYesNo
StreamingYesNo
Catalogue
ProviderGoogleGoogle
Categorychatimage
Charge typePay As You GoPay Per Request
Released——
Description
SummaryGemini 2.5 Flash-Lite is a smaller, low-latency model focused on speed and cost efficiency. It delivers faster generation and better benchmark performance than earlier Flash models. Thinking mode is off by default for maximum speed, but developers can enable it when they want deeper reasoning at a higher cost.Gemini 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.