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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. Transcribe 1 ProFish AudioRemove
  3. DeepSeek V4.1 FlashDeepSeekRemove
perceptron-mk1.5 vs transcribe-1-pro vs deepseek-v4.1-flash
AttributePerceptron Mk1.5perceptron-mk1.5Transcribe 1 Protranscribe-1-proDeepSeek V4.1 Flashdeepseek-v4.1-flash
Pricing
Input$0.15 / 1M$0 / 1M$0.30 / 1M
Output$1.50 / 1M$0 / 1M$1.20 / 1M
Cache Write (5m)$0.15 / 1MNot applicable$0.30 / 1M
Cache Write (1h)$0.15 / 1MNot applicable$0.30 / 1M
Cache Read$0.15 / 1MNot applicable$0.30 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context36.9KN/A1M
Max outputN/AN/AN/A
Capabilities
VisionNoNoYes
Function CallingNoNoYes
JSON ModeNoNoYes
StreamingYesNoYes
Catalogue
ProviderPerceptronFish AudioDeepSeek
Categorychatvoicechat
Charge typePay As You GoPay As You GoPay As You Go
Released2026-09-252026-09-24—
Description
SummaryPerceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. 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.