Skip to content

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. GPT-6 LunaOpenAIRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. Gemini 3.5 TranscribeGoogleRemove
gpt-6-luna vs perceptron-mk1.5 vs gemini-3.5-transcribe
AttributeGPT-6 Lunagpt-6-lunaPerceptron Mk1.5perceptron-mk1.5Gemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$0.10 / 1M$0.15 / 1M$0 / 1M
Output$0.50 / 1M$1.50 / 1M$0 / 1M
Cache Write (5m)$0.10 / 1M$0.15 / 1MNot applicable
Cache Write (1h)$0.10 / 1M$0.15 / 1MNot applicable
Cache Read$0.10 / 1M$0.15 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1M36.9K98.3K
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoNo
StreamingYesYesNo
Catalogue
ProviderOpenAIPerceptronGoogle
Categorychatchatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released—2026-09-252026-09-25
Description
SummaryGPT-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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.