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.

Transcribe 1 ProFish Audio Remove
Gemini 3.5 TranscribeGoogle Remove
Perceptron Mk1.5Perceptron Remove
GPT-6.1 SolOpenAI Remove

4 is the maximum. Remove one to add another.

transcribe-1-pro vs gemini-3.5-transcribe vs perceptron-mk1.5 vs gpt-6.1-sol
Attribute	Transcribe 1 Protranscribe-1-pro	Gemini 3.5 Transcribegemini-3.5-transcribe	Perceptron Mk1.5perceptron-mk1.5	GPT-6.1 Solgpt-6.1-sol
Pricing
Input	$0 / 1M	$0 / 1M	$0.15 / 1M	$2.00 / 1M
Output	$0 / 1M	$0 / 1M	$1.50 / 1M	$10.00 / 1M
Cache Write (5m)	Not applicable	Not applicable	$0.15 / 1M	$2.00 / 1M
Cache Write (1h)	Not applicable	Not applicable	$0.15 / 1M	$2.00 / 1M
Cache Read	Not applicable	Not applicable	$0.15 / 1M	$2.00 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	N/A	98.3K	36.9K	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	Yes	Yes
Catalogue
Provider	Fish Audio	Google	Perceptron	OpenAI
Category	voice	voice	chat	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	2026-09-24	2026-09-25	2026-09-25	—
Description
Summary	Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <\|speaker:0\|>. Billed per second of audio.	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.	GPT-6.1 Sol is an upgraded high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra. It is optimized for agentic coding, computer use, document-heavy professional work, and multi-step business automation, delivering near-Astra-level capability at significantly lower cost. Compared with GPT-6 Sol, it offers improved factual reliability and stronger adherence to explicit constraints and user intent, making it well suited for complex, long-running agentic workflows where accurate and dependable execution is critical.