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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. Mistral Small 4Mistral AIRemove
  3. GPT-6 LunaOpenAIRemove
  4. GPT-6 SolOpenAIRemove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs mistral-small-2603 vs gpt-6-luna vs gpt-6-sol
AttributePerceptron Mk1.5perceptron-mk1.5Mistral Small 4mistral-small-2603GPT-6 Lunagpt-6-lunaGPT-6 Solgpt-6-sol
Pricing
Input$0.15 / 1M$0.15 / 1M$0.10 / 1M$2.00 / 1M
Output$1.50 / 1M$0.60 / 1M$0.50 / 1M$10.00 / 1M
Cache Write (5m)$0.15 / 1M$0.15 / 1M$0.10 / 1M$2.00 / 1M
Cache Write (1h)$0.15 / 1M$0.15 / 1M$0.10 / 1M$2.00 / 1M
Cache Read$0.15 / 1M$0.15 / 1M$0.10 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context36.9K262.1K1.1M1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingNoYesYesYes
JSON ModeNoYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderPerceptronMistral AIOpenAIOpenAI
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.Mistral Small 4 is the latest release in the Mistral Small family, unifying capabilities from multiple flagship models into a single system. It integrates strong reasoning (Magistral), multimodal understanding (Pixtral), and agentic coding capabilities (Devstral), enabling a versatile, all-in-one model. Designed to handle complex analysis, software development, and visual tasks within the same workflow, Mistral Small 4 is well suited for integrated agentic applications and end-to-end problem solving across domains.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.GPT-6 Sol is OpenAI's cost-efficient high-end model in the GPT-6 series, positioned between the flagship GPT-6 Astra and the fast GPT-6 Luna tier. It is designed for professional knowledge work, agentic coding, business workflow automation, and computer-use tasks, with particular strength in long-horizon software engineering across real-world codebases. GPT-6 Sol approaches Astra-level factual reliability at a significantly lower cost, while sharing its clear and concise communication style. This balance of capability, reliability, and efficiency makes it well suited for production agents, complex engineering workflows, and scalable professional applications