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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. Claude Sonnet 5.5AnthropicRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. S2.1 ProFish AudioRemove

4 is the maximum. Remove one to add another.

gpt-6-luna-pro vs claude-sonnet-5.5 vs perceptron-mk1.5 vs s2.1-pro
AttributeGPT-6 Luna Progpt-6-luna-proClaude Sonnet 5.5claude-sonnet-5.5Perceptron Mk1.5perceptron-mk1.5S2.1 Pros2.1-pro
Pricing
Input$0.10 / 1M$2.00 / 1M$0.15 / 1M$0 / 1M
Output$0.50 / 1M$10.00 / 1M$1.50 / 1M$0 / 1M
Cache Write (5m)$0.10 / 1M$2.50 / 1M$0.15 / 1MNot applicable
Cache Write (1h)$0.10 / 1M$4.00 / 1M$0.15 / 1MNot applicable
Cache Read$0.10 / 1M$0.20 / 1M$0.15 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1M1M36.9KN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoNo
Function CallingYesYesNoNo
JSON ModeYesYesNoNo
StreamingYesYesYesNo
Catalogue
ProviderOpenAIAnthropicPerceptronFish Audio
Categorychatchatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released——2026-09-252026-07-29
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.Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Fish Audio S2.1 Pro text-to-speech. Billed per UTF-8 byte of input text.