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.

Nova-3Deepgram Remove
DeepSeek V4.1 FlashDeepSeek Remove
Perceptron Mk1.5Perceptron Remove
Qwen3 ASR 1.7BQwen Remove

4 is the maximum. Remove one to add another.

nova-3 vs deepseek-v4.1-flash vs perceptron-mk1.5 vs qwen3-asr-1.7b
Attribute	Nova-3nova-3	DeepSeek V4.1 Flashdeepseek-v4.1-flash	Perceptron Mk1.5perceptron-mk1.5	Qwen3 ASR 1.7Bqwen3-asr-1.7b
Pricing
Input	$0 / 1M	$0.30 / 1M	$0.15 / 1M	$0 / 1M
Output	$0 / 1M	$1.20 / 1M	$1.50 / 1M	$0 / 1M
Cache Write (5m)	Not applicable	$0.30 / 1M	$0.15 / 1M	Not applicable
Cache Write (1h)	Not applicable	$0.30 / 1M	$0.15 / 1M	Not applicable
Cache Read	Not applicable	$0.30 / 1M	$0.15 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	N/A	1M	36.9K	N/A
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	No	Yes	No	No
Function Calling	No	Yes	No	No
JSON Mode	No	Yes	No	No
Streaming	No	Yes	Yes	No
Catalogue
Provider	Deepgram	DeepSeek	Perceptron	Qwen
Category	voice	chat	chat	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	2026-07-15	—	2026-09-25	2026-08-13
Description
Summary	Deepgram Nova-3 speech-to-text. 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.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.	Qwen3-ASR 1.7B speech-to-text. Billed per second of audio.