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Compare models

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. Perceptron Mk1.5PerceptronRemove
  3. GPT-6 LunaOpenAIRemove
  4. Gemini 3.5 FlashGoogleRemove

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs perceptron-mk1.5 vs gpt-6-luna vs gemini-3.5-flash
AttributeGemini 3.5 Transcribegemini-3.5-transcribePerceptron Mk1.5perceptron-mk1.5GPT-6 Lunagpt-6-lunaGemini 3.5 Flashgemini-3.5-flash
Pricing
Input$0 / 1M$0.15 / 1M$0.10 / 1M$1.50 / 1M
Output$0 / 1M$1.50 / 1M$0.50 / 1M$9.00 / 1M
Cache Write (5m)Not applicable$0.15 / 1M$0.10 / 1M$1.50 / 1M
Cache Write (1h)Not applicable$0.15 / 1M$0.10 / 1M$1.50 / 1M
Cache ReadNot applicable$0.15 / 1M$0.10 / 1M$1.50 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3K36.9K1.1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeNoNoYesYes
StreamingNoYesYesYes
Catalogue
ProviderGooglePerceptronOpenAIGoogle
Categoryvoicechatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-252026-09-25——
Description
SummaryGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.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.Gemini 3.5 Flash is Google's high-efficiency multimodal model, delivering near-Pro level performance in coding and reasoning at Flash-tier speed and cost. It supports text, image, video, audio, and PDF inputs, making it well suited for diverse multimodal workflows. Optimized for coding proficiency and parallel agentic execution, the model defaults to medium thinking effort for faster, cost-efficient responses while supporting configurable thinking levels (minimal, low, medium, high) for fine-grained cost–performance control.