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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. Transcribe 1 ProFish AudioRemove
  2. DeepSeek V4.1 FlashDeepSeekRemove
  3. Qwen3 ASR 0.6BQwenRemove
  4. Perceptron Mk1.5PerceptronRemove

4 is the maximum. Remove one to add another.

transcribe-1-pro vs deepseek-v4.1-flash vs qwen3-asr-0.6b vs perceptron-mk1.5
AttributeTranscribe 1 Protranscribe-1-proDeepSeek V4.1 Flashdeepseek-v4.1-flashQwen3 ASR 0.6Bqwen3-asr-0.6bPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$0 / 1M$0.30 / 1M$0 / 1M$0.15 / 1M
Output$0 / 1M$1.20 / 1M$0 / 1M$1.50 / 1M
Cache Write (5m)Not applicable$0.30 / 1MNot applicable$0.15 / 1M
Cache Write (1h)Not applicable$0.30 / 1MNot applicable$0.15 / 1M
Cache ReadNot applicable$0.30 / 1MNot applicable$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1MN/A36.9K
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesNoNo
Function CallingNoYesNoNo
JSON ModeNoYesNoNo
StreamingNoYesNoYes
Catalogue
ProviderFish AudioDeepSeekQwenPerceptron
Categoryvoicechatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-24—2026-08-132026-09-25
Description
SummaryFish 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.Qwen3-ASR 0.6B 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.