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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. Llama 3.2 1b InstructMetaRemove
  2. Gemini 3.1 Flash Lite Image (Google Vertex AI)GoogleRemove
llama-3.2-1b-instruct vs gemini-3.1-flash-lite-image-vertex
AttributeLlama 3.2 1b Instructllama-3.2-1b-instructGemini 3.1 Flash Lite Image (Google Vertex AI)gemini-3.1-flash-lite-image-vertex
Pricing
Input$0.0025 / 1M—
Output$0.005 / 1M—
Cache Write (5m)$0.0025 / 1MNot applicable
Cache Write (1h)$0.0025 / 1MNot applicable
Cache Read$0.0025 / 1MNot applicable
Web Search$0 / 1M—
Request—$0.0336 / request
Billing—Pay Per Request
Context
Max contextN/AN/A
Max outputN/AN/A
Capabilities
VisionNoYes
Function CallingYesNo
JSON ModeYesNo
StreamingYesNo
Catalogue
ProviderMetaGoogle
Categorychatimage
Charge typePay As You GoPay Per Request
Released——
Description
SummaryLlama 3.2 1B is a lightweight 1-billion-parameter model built for efficient NLP tasks like summarization, conversation, and multilingual analysis. It runs well in low-resource environments, supports eight core languages (and can be fine-tuned for more), making it a good fit for developers who need capable, multilingual AI without heavy compute costs.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.