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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 SolOpenAIRemove
  3. Gemini 3.5 TranscribeGoogleRemove
gemini-3.1-flash-lite-image vs gpt-6-sol vs gemini-3.5-transcribe
AttributeNano Banana 2 Lite (Gemini 3.1 Flash Lite Image)gemini-3.1-flash-lite-imageGPT-6 Solgpt-6-solGemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Request$0.7754 / request——
BillingPay Per Request——
Cache Write (5m)Not applicable$2.00 / 1MNot applicable
Cache Write (1h)Not applicable$2.00 / 1MNot applicable
Cache ReadNot applicable$2.00 / 1MNot applicable
Input—$2.00 / 1M$0 / 1M
Output—$10.00 / 1M$0 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max context66K1.1M98.3K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesNo
StreamingNoYesNo
Catalogue
ProviderGoogleOpenAIGoogle
Categoryimagechatvoice
Charge typePay Per RequestPay As You GoPay As You Go
Released——2026-09-25
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 Sol is OpenAI's cost-efficient high-end model in the GPT-6 series, positioned between the flagship GPT-6 Astra and the fast GPT-6 Luna tier. It is designed for professional knowledge work, agentic coding, business workflow automation, and computer-use tasks, with particular strength in long-horizon software engineering across real-world codebases. GPT-6 Sol approaches Astra-level factual reliability at a significantly lower cost, while sharing its clear and concise communication style. This balance of capability, reliability, and efficiency makes it well suited for production agents, complex engineering workflows, and scalable professional applicationsGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.