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.

DeepSeek V4.1 FlashDeepSeek Remove
MAI-Transcribe 2Microsoft Remove
Perceptron Mk1.5Perceptron Remove
Transcribe 1 ProFish Audio Remove

4 is the maximum. Remove one to add another.

deepseek-v4.1-flash vs mai-transcribe-2 vs perceptron-mk1.5 vs transcribe-1-pro
Attribute	DeepSeek V4.1 Flashdeepseek-v4.1-flash	MAI-Transcribe 2mai-transcribe-2	Perceptron Mk1.5perceptron-mk1.5	Transcribe 1 Protranscribe-1-pro
Pricing
Input	$0.30 / 1M	$0 / 1M	$0.15 / 1M	$0 / 1M
Output	$1.20 / 1M	$0 / 1M	$1.50 / 1M	$0 / 1M
Cache Write (5m)	$0.30 / 1M	Not applicable	$0.15 / 1M	Not applicable
Cache Write (1h)	$0.30 / 1M	Not applicable	$0.15 / 1M	Not applicable
Cache Read	$0.30 / 1M	Not applicable	$0.15 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	N/A	36.9K	N/A
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	No	No	No
Function Calling	Yes	No	No	No
JSON Mode	Yes	No	No	No
Streaming	Yes	No	Yes	No
Catalogue
Provider	DeepSeek	Microsoft	Perceptron	Fish Audio
Category	chat	voice	chat	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	2026-09-03	2026-09-25	2026-09-24
Description
Summary	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.	Microsoft 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.	Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <\|speaker:0\|>. Billed per second of audio.