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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. DeepSeek V4.1 FlashDeepSeekRemove
  2. S2 ProFish AudioRemove
  3. Gemini 3.5 TranscribeGoogleRemove
  4. Perceptron Mk1.5PerceptronRemove

4 is the maximum. Remove one to add another.

deepseek-v4.1-flash vs s2-pro vs gemini-3.5-transcribe vs perceptron-mk1.5
AttributeDeepSeek V4.1 Flashdeepseek-v4.1-flashS2 Pros2-proGemini 3.5 Transcribegemini-3.5-transcribePerceptron Mk1.5perceptron-mk1.5
Pricing
Input$0.30 / 1M$0 / 1M$0 / 1M$0.15 / 1M
Output$1.20 / 1M$0 / 1M$0 / 1M$1.50 / 1M
Cache Write (5m)$0.30 / 1MNot applicableNot applicable$0.15 / 1M
Cache Write (1h)$0.30 / 1MNot applicableNot applicable$0.15 / 1M
Cache Read$0.30 / 1MNot applicableNot applicable$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1MN/A98.3K36.9K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesNo
Function CallingYesNoYesNo
JSON ModeYesNoNoNo
StreamingYesNoNoYes
Catalogue
ProviderDeepSeekFish AudioGooglePerceptron
Categorychatvoicevoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-07-292026-09-252026-09-25
Description
SummaryDeepSeek 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.Fish Audio S2 Pro text-to-speech. Billed per UTF-8 byte of input text.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.