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.

GPT-6.1 SolOpenAI Remove
Perceptron Mk1.5Perceptron Remove
Gemini 3.5 FlashGoogle Remove
Gemini 3.5 TranscribeGoogle Remove

4 is the maximum. Remove one to add another.

gpt-6.1-sol vs perceptron-mk1.5 vs gemini-3.5-flash vs gemini-3.5-transcribe
Attribute	GPT-6.1 Solgpt-6.1-sol	Perceptron Mk1.5perceptron-mk1.5	Gemini 3.5 Flashgemini-3.5-flash	Gemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input	$2.00 / 1M	$0.15 / 1M	$1.50 / 1M	$0 / 1M
Output	$10.00 / 1M	$1.50 / 1M	$9.00 / 1M	$0 / 1M
Cache Write (5m)	$2.00 / 1M	$0.15 / 1M	$1.50 / 1M	Not applicable
Cache Write (1h)	$2.00 / 1M	$0.15 / 1M	$1.50 / 1M	Not applicable
Cache Read	$2.00 / 1M	$0.15 / 1M	$1.50 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	36.9K	1M	98.3K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	No	Yes	Yes
Function Calling	Yes	No	Yes	Yes
JSON Mode	Yes	No	Yes	No
Streaming	Yes	Yes	Yes	No
Catalogue
Provider	OpenAI	Perceptron	Google	Google
Category	chat	chat	chat	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	2026-09-25	—	2026-09-25
Description
Summary	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.	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.	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.