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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. Perceptron Mk1.5PerceptronRemove
  3. DeepSeek V4.1 FlashDeepSeekRemove
  4. S2 ProFish AudioRemove

4 is the maximum. Remove one to add another.

gpt-6-luna vs perceptron-mk1.5 vs deepseek-v4.1-flash vs s2-pro
AttributeGPT-6 Lunagpt-6-lunaPerceptron Mk1.5perceptron-mk1.5DeepSeek V4.1 Flashdeepseek-v4.1-flashS2 Pros2-pro
Pricing
Input$0.10 / 1M$0.15 / 1M$0.30 / 1M$0 / 1M
Output$0.50 / 1M$1.50 / 1M$1.20 / 1M$0 / 1M
Cache Write (5m)$0.10 / 1M$0.15 / 1M$0.30 / 1MNot applicable
Cache Write (1h)$0.10 / 1M$0.15 / 1M$0.30 / 1MNot applicable
Cache Read$0.10 / 1M$0.15 / 1M$0.30 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1M36.9K1MN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesNo
Function CallingYesNoYesNo
JSON ModeYesNoYesNo
StreamingYesYesYesNo
Catalogue
ProviderOpenAIPerceptronDeepSeekFish Audio
Categorychatchatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-25—2026-07-29
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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.DeepSeek V4.1 Flash is a cost-efficient sparse Mixture-of-Experts (MoE) model in DeepSeek's V4.1 family, optimized for coding, reasoning, and agentic workflows. Despite its efficiency-focused positioning, DeepSeek reports that it surpasses the previous V4 Pro in performance, inference speed, and overall task completion time. The model is particularly strong at long-horizon, multi-step execution, making it well suited for coding agents, complex problem solving, and autonomous workflows that must reliably carry tasks through to completion.Fish Audio S2 Pro text-to-speech. Billed per UTF-8 byte of input text.