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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 3.5 TranscribeGoogleRemove
  2. Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)GoogleRemove
  3. GPT-6 LunaOpenAIRemove
gemini-3.5-transcribe vs gemini-3.1-flash-lite-image vs gpt-6-luna
AttributeGemini 3.5 Transcribegemini-3.5-transcribeNano Banana 2 Lite (Gemini 3.1 Flash Lite Image)gemini-3.1-flash-lite-imageGPT-6 Lunagpt-6-luna
Pricing
Input$0 / 1M—$0.10 / 1M
Output$0 / 1M—$0.50 / 1M
Cache Write (5m)Not applicableNot applicable$0.10 / 1M
Cache Write (1h)Not applicableNot applicable$0.10 / 1M
Cache ReadNot applicableNot applicable$0.10 / 1M
Web Search$0 / 1M—$0 / 1M
Request—$0.7754 / request—
Billing—Pay Per Request—
Context
Max context98.3K66K1.1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeNoYesYes
StreamingNoNoYes
Catalogue
ProviderGoogleGoogleOpenAI
Categoryvoiceimagechat
Charge typePay As You GoPay Per RequestPay As You Go
Released2026-09-25——
Description
SummaryGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.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.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.