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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. Perceptron Mk1.5PerceptronRemove
  2. Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)GoogleRemove
  3. Transcribe 1 ProFish AudioRemove
perceptron-mk1.5 vs gemini-3.1-flash-lite-image vs transcribe-1-pro
AttributePerceptron Mk1.5perceptron-mk1.5Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)gemini-3.1-flash-lite-imageTranscribe 1 Protranscribe-1-pro
Pricing
Input$0.15 / 1M—$0 / 1M
Output$1.50 / 1M—$0 / 1M
Cache Write (5m)$0.15 / 1MNot applicableNot applicable
Cache Write (1h)$0.15 / 1MNot applicableNot applicable
Cache Read$0.15 / 1MNot applicableNot applicable
Web Search$0 / 1M—$0 / 1M
Request—$0.7754 / request—
Billing—Pay Per Request—
Context
Max context36.9K66KN/A
Max outputN/AN/AN/A
Capabilities
VisionNoYesNo
Function CallingNoYesNo
JSON ModeNoYesNo
StreamingYesNoNo
Catalogue
ProviderPerceptronGoogleFish Audio
Categorychatimagevoice
Charge typePay As You GoPay Per RequestPay As You Go
Released2026-09-25—2026-09-24
Description
SummaryPerceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per 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.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.