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.

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

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs gpt-6.1-sol vs transcribe-1-pro vs gemini-3.5-flash
Attribute	Perceptron Mk1.5perceptron-mk1.5	GPT-6.1 Solgpt-6.1-sol	Transcribe 1 Protranscribe-1-pro	Gemini 3.5 Flashgemini-3.5-flash
Pricing
Input	$0.15 / 1M	$2.00 / 1M	$0 / 1M	$1.50 / 1M
Output	$1.50 / 1M	$10.00 / 1M	$0 / 1M	$9.00 / 1M
Cache Write (5m)	$0.15 / 1M	$2.00 / 1M	Not applicable	$1.50 / 1M
Cache Write (1h)	$0.15 / 1M	$2.00 / 1M	Not applicable	$1.50 / 1M
Cache Read	$0.15 / 1M	$2.00 / 1M	Not applicable	$1.50 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	36.9K	1M	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	Yes	No	Yes
Streaming	Yes	Yes	No	Yes
Catalogue
Provider	Perceptron	OpenAI	Fish Audio	Google
Category	chat	chat	voice	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	2026-09-25	—	2026-09-24	—
Description
Summary	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.	Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <\|speaker:0\|>. Billed per second of audio.	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.