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
Gemini 3.5 TranscribeGoogle Remove
GPT-6 LunaOpenAI Remove
Perceptron Mk1.5Perceptron Remove

4 is the maximum. Remove one to add another.

gpt-6.1-sol vs gemini-3.5-transcribe vs gpt-6-luna vs perceptron-mk1.5
Attribute	GPT-6.1 Solgpt-6.1-sol	Gemini 3.5 Transcribegemini-3.5-transcribe	GPT-6 Lunagpt-6-luna	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	$2.00 / 1M	$0 / 1M	$0.10 / 1M	$0.15 / 1M
Output	$10.00 / 1M	$0 / 1M	$0.50 / 1M	$1.50 / 1M
Cache Write (5m)	$2.00 / 1M	Not applicable	$0.10 / 1M	$0.15 / 1M
Cache Write (1h)	$2.00 / 1M	Not applicable	$0.10 / 1M	$0.15 / 1M
Cache Read	$2.00 / 1M	Not applicable	$0.10 / 1M	$0.15 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	98.3K	1.1M	36.9K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	Yes	No
Function Calling	Yes	Yes	Yes	No
JSON Mode	Yes	No	Yes	No
Streaming	Yes	No	Yes	Yes
Catalogue
Provider	OpenAI	Google	OpenAI	Perceptron
Category	chat	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	—	2026-09-25
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.	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.	GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.