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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. Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)GoogleRemove
  2. GPT-6 LunaOpenAIRemove
gemini-3.1-flash-lite-image vs gpt-6-luna
AttributeNano Banana 2 Lite (Gemini 3.1 Flash Lite Image)gemini-3.1-flash-lite-imageGPT-6 Lunagpt-6-luna
Pricing
Request$0.7754 / request—
BillingPay Per Request—
Cache Write (5m)Not applicable$0.10 / 1M
Cache Write (1h)Not applicable$0.10 / 1M
Cache ReadNot applicable$0.10 / 1M
Input—$0.10 / 1M
Output—$0.50 / 1M
Web Search—$0 / 1M
Context
Max context66K1.1M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingNoYes
Catalogue
ProviderGoogleOpenAI
Categoryimagechat
Charge typePay Per RequestPay As You Go
Released——
Description
SummaryNano 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.GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability.