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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. Gemma 4 31B (Free)GoogleRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. GPT-6 Luna ProOpenAIRemove
gemma-4-31b-it:free vs perceptron-mk1.5 vs gpt-6-luna-pro
AttributeGemma 4 31B (Free)gemma-4-31b-it:freePerceptron Mk1.5perceptron-mk1.5GPT-6 Luna Progpt-6-luna-pro
Pricing
Input$0 / 1M$0.15 / 1M$0.10 / 1M
Output$0 / 1M$1.50 / 1M$0.50 / 1M
Cache Write$0 / 1M——
Cache Read$0 / 1M$0.15 / 1M$0.10 / 1M
Cache Write (5m)—$0.15 / 1M$0.10 / 1M
Cache Write (1h)—$0.15 / 1M$0.10 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max context262.1K36.9K1.1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesYesYes
Catalogue
ProviderGooglePerceptronOpenAI
Categorychatchatchat
Charge typeFreePay As You GoPay As You Go
Released—2026-09-25—
Description
SummaryGemma 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.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.