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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. DeepSeek V4.1 FlashDeepSeekRemove
  3. Perceptron Mk1.5PerceptronRemove
gpt-6-luna-pro vs deepseek-v4.1-flash vs perceptron-mk1.5
AttributeGPT-6 Luna Progpt-6-luna-proDeepSeek V4.1 Flashdeepseek-v4.1-flashPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$0.10 / 1M$0.30 / 1M$0.15 / 1M
Output$0.50 / 1M$1.20 / 1M$1.50 / 1M
Cache Write (5m)$0.10 / 1M$0.30 / 1M$0.15 / 1M
Cache Write (1h)$0.10 / 1M$0.30 / 1M$0.15 / 1M
Cache Read$0.10 / 1M$0.30 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1M1M36.9K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesYes
Catalogue
ProviderOpenAIDeepSeekPerceptron
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.DeepSeek V4.1 Flash is a cost-efficient sparse Mixture-of-Experts (MoE) model in DeepSeek's V4.1 family, optimized for coding, reasoning, and agentic workflows. Despite its efficiency-focused positioning, DeepSeek reports that it surpasses the previous V4 Pro in performance, inference speed, and overall task completion time. The model is particularly strong at long-horizon, multi-step execution, making it well suited for coding agents, complex problem solving, and autonomous workflows that must reliably carry tasks through to completion.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.