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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. Gemma 4 31B (Free)GoogleRemove
  2. GPT-6 Luna ProOpenAIRemove
  3. Gemini 3.5 TranscribeGoogleRemove
gemma-4-31b-it:free vs gpt-6-luna-pro vs gemini-3.5-transcribe
AttributeGemma 4 31B (Free)gemma-4-31b-it:freeGPT-6 Luna Progpt-6-luna-proGemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$0 / 1M$0.10 / 1M— Not priced per input token
Output$0 / 1M$0.50 / 1M— Not priced per output token
Cache Write$0 / 1M——
Cache Read$0 / 1M$0.10 / 1MNot applicable
Cache Write (5m)—$0.10 / 1MNot applicable
Cache Write (1h)—$0.10 / 1MNot applicable
Web Search—$0 / 1M$0 / 1M
Context
Max context262.1K1.1M98.3K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderGoogleOpenAIGoogle
Categorychatchatvoice
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.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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.