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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

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gemini-3.5-transcribe vs muse-spark-1.3 vs qwen3-asr-1.7b vs s2-pro
Attribute	Gemini 3.5 Transcribegemini-3.5-transcribe	Muse Spark 1.3muse-spark-1.3	Qwen3 ASR 1.7Bqwen3-asr-1.7b	S2 Pros2-pro
Pricing
Input	$0 / 1M	$1.25 / 1M	$0 / 1M	$0 / 1M
Output	$0 / 1M	$4.25 / 1M	$0 / 1M	$0 / 1M
Cache Write (5m)	Not applicable	$1.25 / 1M	Not applicable	Not applicable
Cache Write (1h)	Not applicable	$1.25 / 1M	Not applicable	Not applicable
Cache Read	Not applicable	$1.25 / 1M	Not applicable	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	98.3K	1M	N/A	N/A
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	No	No
Function Calling	Yes	Yes	No	No
JSON Mode	No	Yes	No	No
Streaming	No	Yes	No	No
Catalogue
Provider	Google	Meta	Qwen	Fish Audio
Category	voice	chat	voice	voice
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.	Muse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows.	Qwen3-ASR 1.7B speech-to-text. Billed per second of audio.	Fish Audio S2 Pro text-to-speech. Billed per UTF-8 byte of input text.