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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 LunaOpenAIRemove
  2. Gemini 3.5 TranscribeGoogleRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. Grok 4.20 BetaxAIRemove

4 is the maximum. Remove one to add another.

gpt-6-luna vs gemini-3.5-transcribe vs perceptron-mk1.5 vs grok-4.20-beta
AttributeGPT-6 Lunagpt-6-lunaGemini 3.5 Transcribegemini-3.5-transcribePerceptron Mk1.5perceptron-mk1.5Grok 4.20 Betagrok-4.20-beta
Pricing
Input$0.10 / 1M— Not priced per input token$0.15 / 1M$2.00 / 1M
Output$0.50 / 1M— Not priced per output token$1.50 / 1M$6.00 / 1M
Cache Write (5m)$0.10 / 1MNot applicable$0.15 / 1M$2.00 / 1M
Cache Write (1h)$0.10 / 1MNot applicable$0.15 / 1M$2.00 / 1M
Cache Read$0.10 / 1MNot applicable$0.15 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1M98.3K36.9K2M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoYes
Function CallingYesYesNoYes
JSON ModeYesNoNoYes
StreamingYesNoYesYes
Catalogue
ProviderOpenAIGooglePerceptronxAI
Categorychatvoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-252026-09-25—
Description
SummaryGPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Grok 4.20 Beta is xAI's newest flagship model, designed for high-performance reasoning with industry-leading speed and strong agentic tool-calling capabilities. It emphasizes strict prompt adherence and low hallucination rates, enabling highly reliable and precise responses across complex tasks. Optimized for agent workflows and real-time applications, Grok 4.20 Beta delivers consistent, truthful outputs while maintaining fast inference and strong task execution reliability.