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
Transcribe 1 ProFish Audio Remove
Perceptron Mk1.5Perceptron Remove
Gemini 3.5 FlashGoogle Remove

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs transcribe-1-pro vs perceptron-mk1.5 vs gemini-3.5-flash
Attribute	Gemini 3.5 Transcribegemini-3.5-transcribe	Transcribe 1 Protranscribe-1-pro	Perceptron Mk1.5perceptron-mk1.5	Gemini 3.5 Flashgemini-3.5-flash
Pricing
Input	$0 / 1M	$0 / 1M	$0.15 / 1M	$1.50 / 1M
Output	$0 / 1M	$0 / 1M	$1.50 / 1M	$9.00 / 1M
Cache Write (5m)	Not applicable	Not applicable	$0.15 / 1M	$1.50 / 1M
Cache Write (1h)	Not applicable	Not applicable	$0.15 / 1M	$1.50 / 1M
Cache Read	Not applicable	Not applicable	$0.15 / 1M	$1.50 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	98.3K	N/A	36.9K	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	Yes	Yes
Catalogue
Provider	Google	Fish Audio	Perceptron	Google
Category	voice	voice	chat	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	2026-09-25	2026-09-24	2026-09-25	—
Description
Summary	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.	Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <\|speaker:0\|>. Billed per second of audio.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.	Gemini 3.5 Flash is Google's high-efficiency multimodal model, delivering near-Pro level performance in coding and reasoning at Flash-tier speed and cost. It supports text, image, video, audio, and PDF inputs, making it well suited for diverse multimodal workflows. Optimized for coding proficiency and parallel agentic execution, the model defaults to medium thinking effort for faster, cost-efficient responses while supporting configurable thinking levels (minimal, low, medium, high) for fine-grained cost–performance control.