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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. MiMo-V2-ProXiaomiRemove
  4. Perceptron Mk1.5PerceptronRemove

4 is the maximum. Remove one to add another.

gpt-6-luna vs gemini-3.5-transcribe vs mimo-v2-pro vs perceptron-mk1.5
AttributeGPT-6 Lunagpt-6-lunaGemini 3.5 Transcribegemini-3.5-transcribeMiMo-V2-Promimo-v2-proPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$0.10 / 1M— Not priced per input token$1.00 / 1M$0.15 / 1M
Output$0.50 / 1M— Not priced per output token$3.00 / 1M$1.50 / 1M
Cache Write (5m)$0.10 / 1MNot applicable$1.00 / 1M$0.15 / 1M
Cache Write (1h)$0.10 / 1MNot applicable$1.00 / 1M$0.15 / 1M
Cache Read$0.10 / 1MNot applicable$1.00 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1M98.3K1.0M36.9K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesNo
JSON ModeYesNoYesNo
StreamingYesNoYesYes
Catalogue
ProviderOpenAIGoogleXiaomiPerceptron
Categorychatvoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-25—2026-09-25
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.MiMo-V2-Pro is Xiaomi's flagship foundation model with over 1T parameters and a 1M-token context window, optimized for advanced agentic workflows. It is highly adaptable to general agent frameworks such as OpenClaw, delivering strong performance in complex, real-world task execution. Ranking among the top tier on benchmarks like PinchBench and ClawBench, with performance approaching models like Opus 4.6, MiMo-V2-Pro is designed to act as the core intelligence of agent systems, orchestrating workflows, driving production engineering tasks, and delivering reliable results at scale.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.