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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. GPT-6 Luna ProOpenAIRemove
  2. MiMo-V2-OmniXiaomiRemove
  3. Perceptron Mk1.5PerceptronRemove
gpt-6-luna-pro vs mimo-v2-omni vs perceptron-mk1.5
AttributeGPT-6 Luna Progpt-6-luna-proMiMo-V2-Omnimimo-v2-omniPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$0.10 / 1M$0.40 / 1M$0.15 / 1M
Output$0.50 / 1M$2.00 / 1M$1.50 / 1M
Cache Write (5m)$0.10 / 1M$0.40 / 1M$0.15 / 1M
Cache Write (1h)$0.10 / 1M$0.40 / 1M$0.15 / 1M
Cache Read$0.10 / 1M$0.40 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1M262.1K36.9K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesYes
Catalogue
ProviderOpenAIXiaomiPerceptron
Categorychatchatchat
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.MiMo-V2-Omni is a frontier omni-modal model that natively processes image, video, and audio inputs within a unified architecture. It combines strong multimodal perception with advanced agentic capabilities, including visual grounding, multi-step planning, tool use, and code execution. With a 256K context window, MiMo-V2-Omni is well suited for complex real-world tasks that span multiple modalities, enabling integrated reasoning and execution across diverse input types.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.