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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. Perceptron Mk1.5PerceptronRemove
  2. S2 ProFish AudioRemove
  3. DeepSeek V4.1 FlashDeepSeekRemove
  4. Voxtral Mini 3B 2507Mistral AIRemove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs s2-pro vs deepseek-v4.1-flash vs voxtral-mini-3b-2507
AttributePerceptron Mk1.5perceptron-mk1.5S2 Pros2-proDeepSeek V4.1 Flashdeepseek-v4.1-flashVoxtral Mini 3B 2507voxtral-mini-3b-2507
Pricing
Input$0.15 / 1M$0 / 1M$0.30 / 1M$0 / 1M
Output$1.50 / 1M$0 / 1M$1.20 / 1M$0 / 1M
Cache Write (5m)$0.15 / 1MNot applicable$0.30 / 1MNot applicable
Cache Write (1h)$0.15 / 1MNot applicable$0.30 / 1MNot applicable
Cache Read$0.15 / 1MNot applicable$0.30 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context36.9KN/A1MN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoYesNo
Function CallingNoNoYesNo
JSON ModeNoNoYesNo
StreamingYesNoYesNo
Catalogue
ProviderPerceptronFish AudioDeepSeekMistral AI
Categorychatvoicechatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-252026-07-29—2026-08-13
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.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.Mistral AI Voxtral Mini (3B) speech-to-text. Billed per second of audio.