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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. GPT-6 Luna ProOpenAIRemove
  2. Gemini 3.5 FlashGoogleRemove
  3. Gemini 3.5 TranscribeGoogleRemove
gpt-6-luna-pro vs gemini-3.5-flash vs gemini-3.5-transcribe
AttributeGPT-6 Luna Progpt-6-luna-proGemini 3.5 Flashgemini-3.5-flashGemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$0.10 / 1M$1.50 / 1M$0 / 1M
Output$0.50 / 1M$9.00 / 1M$0 / 1M
Cache Write (5m)$0.10 / 1M$1.50 / 1MNot applicable
Cache Write (1h)$0.10 / 1M$1.50 / 1MNot applicable
Cache Read$0.10 / 1M$1.50 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1M1M98.3K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderOpenAIGoogleGoogle
Categorychatchatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-25
Description
SummaryGPT-6 Luna Pro uses the same underlying model as GPT-6 Luna, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. It combines Luna's speed and cost efficiency with deeper reasoning and more reliable multi-step execution, making it well suited for advanced coding, computer use, and agentic workflows where higher solution quality is needed without moving to a larger GPT-6 tier.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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.