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
Qwen3 ASR 0.6BQwen Remove
DeepSeek V4.1 FlashDeepSeek Remove

4 is the maximum. Remove one to add another.

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