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 Lite Image (Google Vertex AI)GoogleRemove
  2. MiniMax M2.5 (Lightning)MiniMaxRemove
gemini-3.1-flash-lite-image-vertex vs minimax-m2.5-lightning
AttributeGemini 3.1 Flash Lite Image (Google Vertex AI)gemini-3.1-flash-lite-image-vertexMiniMax M2.5 (Lightning)minimax-m2.5-lightning
Pricing
Request$0.0336 / request—
BillingPay Per Request—
Cache Write (5m)Not applicable$0.30 / 1M
Cache Write (1h)Not applicable$0.30 / 1M
Cache ReadNot applicable$0.30 / 1M
Input—$0.30 / 1M
Output—$2.20 / 1M
Web Search—$0 / 1M
Context
Max contextN/A128K
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingNoYes
JSON ModeNoYes
StreamingNoYes
Catalogue
ProviderGoogleMiniMax
Categoryimagechat
Charge typePay Per RequestPay As You Go
Released——
Description
SummaryGemini 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.MiniMax-M2.5-Lightning is the high-speed variant of the M2.5 series, optimized for low latency, real-time responsiveness, and high-frequency workloads. It retains the core planning and execution strengths of M2.5 while further improving inference efficiency and response speed, making it ideal for interactive applications, rapid coding assistance, and workflow automation. With enhanced cost efficiency and reduced latency, M2.5-Lightning is particularly well suited for high-throughput, always-on deployments and production environments where speed and scalability are critical.