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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.

GPT-6 Luna ProOpenAI Remove
Gemma 4 31B (Free)Google Remove
Perceptron Mk1.5Perceptron Remove

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gpt-6-luna-pro vs gemma-4-31b-it:free vs perceptron-mk1.5
Attribute	GPT-6 Luna Progpt-6-luna-pro	Gemma 4 31B (Free)gemma-4-31b-it:free	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	$0.10 / 1M	$0 / 1M	$0.15 / 1M
Output	$0.50 / 1M	$0 / 1M	$1.50 / 1M
Cache Write (5m)	$0.10 / 1M	—	$0.15 / 1M
Cache Write (1h)	$0.10 / 1M	—	$0.15 / 1M
Cache Read	$0.10 / 1M	$0 / 1M	$0.15 / 1M
Web Search	$0 / 1M	—	$0 / 1M
Cache Write	—	$0 / 1M	—
Context
Max context	1.1M	262.1K	36.9K
Max output	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	No
Function Calling	Yes	Yes	No
JSON Mode	Yes	Yes	No
Streaming	Yes	Yes	Yes
Catalogue
Provider	OpenAI	Google	Perceptron
Category	chat	chat	chat
Charge type	Pay As You Go	Free	Pay As You Go
Released	—	—	2026-09-25
Description
Summary	GPT-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.	Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model, supporting text and image inputs with text outputs. It features a 256K token context window, configurable thinking/reasoning modes, native function calling, and broad multilingual support across 140+ languages. The model delivers strong performance in coding, reasoning, and document understanding, making it well suited for developer workflows, multilingual applications, and structured knowledge tasks.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.