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-5.6 TerraOpenAI Remove
Gemini 3.5 TranscribeGoogle Remove
Perceptron Mk1.5Perceptron Remove
GPT-6 LunaOpenAI Remove

4 is the maximum. Remove one to add another.

gpt-5.6-terra vs gemini-3.5-transcribe vs perceptron-mk1.5 vs gpt-6-luna
Attribute	GPT-5.6 Terragpt-5.6-terra	Gemini 3.5 Transcribegemini-3.5-transcribe	Perceptron Mk1.5perceptron-mk1.5	GPT-6 Lunagpt-6-luna
Pricing
Input	$2.00 / 1M	— Not priced per input token	$0.15 / 1M	$0.10 / 1M
Output	$12.00 / 1M	— Not priced per output token	$1.50 / 1M	$0.50 / 1M
Cache Write (5m)	$2.00 / 1M	Not applicable	$0.15 / 1M	$0.10 / 1M
Cache Write (1h)	$2.00 / 1M	Not applicable	$0.15 / 1M	$0.10 / 1M
Cache Read	$2.00 / 1M	Not applicable	$0.15 / 1M	$0.10 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	98.3K	36.9K	1.1M
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	No	Yes
Function Calling	Yes	Yes	No	Yes
JSON Mode	Yes	No	No	Yes
Streaming	Yes	No	Yes	Yes
Catalogue
Provider	OpenAI	Google	Perceptron	OpenAI
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-5.6 Terra is the balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is designed for everyday coding, reasoning, and agentic workflows, delivering strong performance while balancing capability and cost. Offering near-flagship quality at approximately half the cost of Sol, GPT-5.6 Terra is well suited for production applications that require reliable reasoning, software development, and scalable agent execution.	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per 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.