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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. Perceptron Mk1.5PerceptronRemove
  2. GPT-6.1 SolOpenAIRemove
  3. GPT-6 LunaOpenAIRemove
  4. Gemini 3.5 FlashGoogleRemove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs gpt-6.1-sol vs gpt-6-luna vs gemini-3.5-flash
AttributePerceptron Mk1.5perceptron-mk1.5GPT-6.1 Solgpt-6.1-solGPT-6 Lunagpt-6-lunaGemini 3.5 Flashgemini-3.5-flash
Pricing
Input$0.15 / 1M$2.00 / 1M$0.10 / 1M$1.50 / 1M
Output$1.50 / 1M$10.00 / 1M$0.50 / 1M$9.00 / 1M
Cache Write (5m)$0.15 / 1M$2.00 / 1M$0.10 / 1M$1.50 / 1M
Cache Write (1h)$0.15 / 1M$2.00 / 1M$0.10 / 1M$1.50 / 1M
Cache Read$0.15 / 1M$2.00 / 1M$0.10 / 1M$1.50 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context36.9K1M1.1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingNoYesYesYes
JSON ModeNoYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderPerceptronOpenAIOpenAIGoogle
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-25———
Description
SummaryPerceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.GPT-6.1 Sol is an upgraded high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra. It is optimized for agentic coding, computer use, document-heavy professional work, and multi-step business automation, delivering near-Astra-level capability at significantly lower cost. Compared with GPT-6 Sol, it offers improved factual reliability and stronger adherence to explicit constraints and user intent, making it well suited for complex, long-running agentic workflows where accurate and dependable execution is critical.GPT-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.Gemini 3.5 Flash is Google's high-efficiency multimodal model, delivering near-Pro level performance in coding and reasoning at Flash-tier speed and cost. It supports text, image, video, audio, and PDF inputs, making it well suited for diverse multimodal workflows. Optimized for coding proficiency and parallel agentic execution, the model defaults to medium thinking effort for faster, cost-efficient responses while supporting configurable thinking levels (minimal, low, medium, high) for fine-grained cost–performance control.