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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. MAI-Transcribe 2MicrosoftRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. DeepSeek V4.1 FlashDeepSeekRemove
  4. Qwen3 ASR 0.6BQwenRemove

4 is the maximum. Remove one to add another.

mai-transcribe-2 vs perceptron-mk1.5 vs deepseek-v4.1-flash vs qwen3-asr-0.6b
AttributeMAI-Transcribe 2mai-transcribe-2Perceptron Mk1.5perceptron-mk1.5DeepSeek V4.1 Flashdeepseek-v4.1-flashQwen3 ASR 0.6Bqwen3-asr-0.6b
Pricing
Input$0 / 1M$0.15 / 1M$0.30 / 1M$0 / 1M
Output$0 / 1M$1.50 / 1M$1.20 / 1M$0 / 1M
Cache Write (5m)Not applicable$0.15 / 1M$0.30 / 1MNot applicable
Cache Write (1h)Not applicable$0.15 / 1M$0.30 / 1MNot applicable
Cache ReadNot applicable$0.15 / 1M$0.30 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A36.9K1MN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoYesNo
Function CallingNoNoYesNo
JSON ModeNoNoYesNo
StreamingNoYesYesNo
Catalogue
ProviderMicrosoftPerceptronDeepSeekQwen
Categoryvoicechatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-032026-09-25—2026-08-13
Description
SummaryMicrosoft MAI-Transcribe-2 speech-to-text. Billed per second of audio.Perceptron 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.Qwen3-ASR 0.6B speech-to-text. Billed per second of audio.