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.

S2 ProFish Audio Remove
Gemini 3.5 TranscribeGoogle Remove
DeepSeek V4.1 FlashDeepSeek Remove
Qwen3 ASR 0.6BQwen Remove

4 is the maximum. Remove one to add another.

s2-pro vs gemini-3.5-transcribe vs deepseek-v4.1-flash vs qwen3-asr-0.6b
Attribute	S2 Pros2-pro	Gemini 3.5 Transcribegemini-3.5-transcribe	DeepSeek V4.1 Flashdeepseek-v4.1-flash	Qwen3 ASR 0.6Bqwen3-asr-0.6b
Pricing
Input	$0 / 1M	$0 / 1M	$0.30 / 1M	$0 / 1M
Output	$0 / 1M	$0 / 1M	$1.20 / 1M	$0 / 1M
Cache Write (5m)	Not applicable	Not applicable	$0.30 / 1M	Not applicable
Cache Write (1h)	Not applicable	Not applicable	$0.30 / 1M	Not applicable
Cache Read	Not applicable	Not applicable	$0.30 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	N/A	98.3K	1M	N/A
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	No	Yes	Yes	No
Function Calling	No	Yes	Yes	No
JSON Mode	No	No	Yes	No
Streaming	No	No	Yes	No
Catalogue
Provider	Fish Audio	Google	DeepSeek	Qwen
Category	voice	voice	chat	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	2026-07-29	2026-09-25	—	2026-08-13
Description
Summary	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.	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.