Gemini 3.1 Flash Lite vs Gemini Embedding 001
Compare Gemini 3.1 Flash Lite and Gemini Embedding 001 on key metrics including price, context length, throughput, and other model features.
AuthorGoogle
Context Length1.0M
Supports Tools
Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, and is designed for lightweight agentic workflows, simple data extraction, and applications where responsiveness and API cost are the primary constraints.
Activity
Last 14 daysPrompt
32MCompletion
6MTotal
37MStartup
Startup
Latency (p50)0.81s
Throughput (p50)171.5 tok/s
Pricing
Input$0.06/M tokens
Output$0.38/M tokens
Cached input$0.00625/M tokens
Embeddings-
Features
Input Modalitiestext, image, audio, file
Output Modalitiestext
Supported EndpointsChat Completions
Vision
Supports Tools
AuthorGoogle
Context Length-
Supports Tools
Gemini-Embedding-001 is Google’s top-ranked multilingual embedding model, supporting over 100 languages and flexible output dimensions (3072, 1536, or 768). It is optimized for semantic search, clustering, and recommendations, and leverages Matryoshka Representation Learning for efficient, high-quality embeddings.
Activity
Last 14 daysPrompt
44MCompletion
0Total
44MStartup
Startup
Latency (p50)-
Throughput (p50)-
Pricing
Input-
Output-
Cached input-
Embeddings$0.07/M tokens
Features
Input Modalitiestext
Output Modalitiesembeddings
Supported EndpointsEmbeddings
Vision
Supports Tools