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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 4 ArgonGoogleRemove
  2. Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)GoogleRemove
gemini-4-argon vs gemini-3.1-flash-lite-image
AttributeGemini 4 Argongemini-4-argonNano Banana 2 Lite (Gemini 3.1 Flash Lite Image)gemini-3.1-flash-lite-image
Pricing
Input$2.00 / 1M$0.25 / 1M
Output$10.00 / 1M$1.50 / 1M
Cache Write (5m)$2.00 / 1MNot applicable
Cache Write (1h)$2.00 / 1MNot applicable
Cache Read$2.00 / 1MNot applicable
Web Search$0 / 1M$0 / 1M
Context
Max context1M66K
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesNo
Catalogue
ProviderGoogleGoogle
Categorychatimage
Charge typePay As You GoPay As You Go
Released——
Description
SummaryGemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is Google's fastest and most cost-efficient multimodal image generation model, designed for high-throughput visual workflows and real-time applications. It supports text-to-image generation, image editing, and multi-image composition through a unified API, while also producing text outputs alongside images. Delivering image generation in approximately 4 seconds, it combines fast inference with strong character consistency, precise editing, and real-world knowledge. The model generates 1K-resolution images across 14 aspect ratios and embeds an invisible SynthID watermark in all outputs. Optimized for the best balance of quality, speed, and cost, Nano Banana 2 Lite is ideal for prototyping, developer pipelines, and large-scale visual content generation.