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.

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

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs qwen3-asr-0.6b vs s2-pro vs deepseek-v4.1-flash
Attribute	Gemini 3.5 Transcribegemini-3.5-transcribe	Qwen3 ASR 0.6Bqwen3-asr-0.6b	S2 Pros2-pro	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	98.3K	N/A	N/A	1M
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	No	No	Yes
Function Calling	Yes	No	No	Yes
JSON Mode	No	No	No	Yes
Streaming	No	No	No	Yes
Catalogue
Provider	Google	Qwen	Fish Audio	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	2026-09-25	2026-08-13	2026-07-29	—
Description
Summary	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.	Fish Audio S2 Pro text-to-speech. Billed per UTF-8 byte of input text.	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.