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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. S2 ProFish AudioRemove
  3. Universal-3.5 ProAssemblyAIRemove
  4. DeepSeek V4.1 FlashDeepSeekRemove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs s2-pro vs universal-3-5-pro vs deepseek-v4.1-flash
AttributePerceptron Mk1.5perceptron-mk1.5S2 Pros2-proUniversal-3.5 Prouniversal-3-5-proDeepSeek V4.1 Flashdeepseek-v4.1-flash
Pricing
Input$0.15 / 1M$0 / 1M$0 / 1M$0.30 / 1M
Output$1.50 / 1M$0 / 1M$0 / 1M$1.20 / 1M
Cache Write (5m)$0.15 / 1MNot applicableNot applicable$0.30 / 1M
Cache Write (1h)$0.15 / 1MNot applicableNot applicable$0.30 / 1M
Cache Read$0.15 / 1MNot applicableNot applicable$0.30 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context36.9KN/AN/A1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoNoYes
Function CallingNoNoNoYes
JSON ModeNoNoNoYes
StreamingYesNoNoYes
Catalogue
ProviderPerceptronFish AudioAssemblyAIDeepSeek
Categorychatvoicevoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-252026-07-292026-09-22—
Description
SummaryPerceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Fish Audio S2 Pro text-to-speech. Billed per UTF-8 byte of input text.AssemblyAI Universal-3.5 Pro speech-to-text. Billed per second of audio.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.