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Apertis

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. S2 ProFish AudioRemove
  2. Universal-3.5 ProAssemblyAIRemove
  3. DeepSeek V4.1 FlashDeepSeekRemove
  4. Perceptron Mk1.5PerceptronRemove

4 is the maximum. Remove one to add another.

s2-pro vs universal-3-5-pro vs deepseek-v4.1-flash vs perceptron-mk1.5
AttributeS2 Pros2-proUniversal-3.5 Prouniversal-3-5-proDeepSeek V4.1 Flashdeepseek-v4.1-flashPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$0 / 1M$0 / 1M$0.30 / 1M$0.15 / 1M
Output$0 / 1M$0 / 1M$1.20 / 1M$1.50 / 1M
Cache Write (5m)Not applicableNot applicable$0.30 / 1M$0.15 / 1M
Cache Write (1h)Not applicableNot applicable$0.30 / 1M$0.15 / 1M
Cache ReadNot applicableNot applicable$0.30 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/AN/A1M36.9K
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoYesNo
Function CallingNoNoYesNo
JSON ModeNoNoYesNo
StreamingNoNoYesYes
Catalogue
ProviderFish AudioAssemblyAIDeepSeekPerceptron
Categoryvoicevoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-292026-09-22—2026-09-25
Description
SummaryFish 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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.