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

4 is the maximum. Remove one to add another.

gpt-6-sol vs perceptron-mk1.5 vs gemini-3.5-flash vs transcribe-1-pro
Attribute	GPT-6 Solgpt-6-sol	Perceptron Mk1.5perceptron-mk1.5	Gemini 3.5 Flashgemini-3.5-flash	Transcribe 1 Protranscribe-1-pro
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	1.1M	36.9K	1M	N/A
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	No	Yes	No
Function Calling	Yes	No	Yes	No
JSON Mode	Yes	No	Yes	No
Streaming	Yes	Yes	Yes	No
Catalogue
Provider	OpenAI	Perceptron	Google	Fish Audio
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	—	2026-09-24
Description
Summary	GPT-6 Sol is OpenAI's cost-efficient high-end model in the GPT-6 series, positioned between the flagship GPT-6 Astra and the fast GPT-6 Luna tier. It is designed for professional knowledge work, agentic coding, business workflow automation, and computer-use tasks, with particular strength in long-horizon software engineering across real-world codebases. GPT-6 Sol approaches Astra-level factual reliability at a significantly lower cost, while sharing its clear and concise communication style. This balance of capability, reliability, and efficiency makes it well suited for production agents, complex engineering workflows, and scalable professional applications	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.	Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <\|speaker:0\|>. Billed per second of audio.