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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. DeepSeek V4.1 FlashDeepSeekRemove
  3. Gemini 3.5 TranscribeGoogleRemove
  4. Nova-3DeepgramRemove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs deepseek-v4.1-flash vs gemini-3.5-transcribe vs nova-3
AttributePerceptron Mk1.5perceptron-mk1.5DeepSeek V4.1 Flashdeepseek-v4.1-flashGemini 3.5 Transcribegemini-3.5-transcribeNova-3nova-3
Pricing
Input$0.15 / 1M$0.30 / 1M$0 / 1M$0 / 1M
Output$1.50 / 1M$1.20 / 1M$0 / 1M$0 / 1M
Cache Write (5m)$0.15 / 1M$0.30 / 1MNot applicableNot applicable
Cache Write (1h)$0.15 / 1M$0.30 / 1MNot applicableNot applicable
Cache Read$0.15 / 1M$0.30 / 1MNot applicableNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context36.9K1M98.3KN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesNo
Function CallingNoYesYesNo
JSON ModeNoYesNoNo
StreamingYesYesNoNo
Catalogue
ProviderPerceptronDeepSeekGoogleDeepgram
Categorychatchatvoicevoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-25—2026-09-252026-07-15
Description
SummaryPerceptron 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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Deepgram Nova-3 speech-to-text. Billed per second of audio.