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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 3.8 FlashGoogleRemove
  2. Jina Embeddings V3Jina AIRemove
  3. Gemini 3.7 FlashGoogleRemove
gemini-3.8-flash vs jina-embeddings-v3 vs gemini-3.7-flash
AttributeGemini 3.8 Flashgemini-3.8-flashJina Embeddings V3jina-embeddings-v3Gemini 3.7 Flashgemini-3.7-flash
Pricing
Input$0.75 / 1M$0.05 / 1M$0.375 / 1M
Output$3.75 / 1M$0 / 1M$1.88 / 1M
Cache Write (5m)$0.75 / 1M$0.05 / 1M$0.375 / 1M
Cache Write (1h)$0.75 / 1M$0.05 / 1M$0.375 / 1M
Cache Read$0.75 / 1M$0.05 / 1M$0.375 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M8.2K1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesNoYes
Catalogue
ProviderGoogleJina AIGoogle
Categorychatembeddingchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryGemini 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality.Gemini 3.7 Flash is Google's fast multimodal model designed for agentic workflows, coding, and complex multi-step reasoning. It combines responsive inference with reliable problem-solving capabilities, making it well suited for interactive and production-scale applications. Optimized for speed and dependable multi-step execution, Gemini 3.7 Flash is a strong choice for coding assistants, autonomous agents, and high-throughput workflows that require both low latency and capable reasoning.