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
Grok 4.7SpaceXAI Remove
MAI-Transcribe 2Microsoft Remove
GPT-6 LunaOpenAI Remove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs grok-4.7 vs mai-transcribe-2 vs gpt-6-luna
Attribute	Perceptron Mk1.5perceptron-mk1.5	Grok 4.7grok-4.7	MAI-Transcribe 2mai-transcribe-2	GPT-6 Lunagpt-6-luna
Pricing
Input	$0.15 / 1M	$1.60 / 1M	$0 / 1M	$0.10 / 1M
Output	$1.50 / 1M	$4.80 / 1M	$0 / 1M	$0.50 / 1M
Cache Write (5m)	$0.15 / 1M	$1.60 / 1M	Not applicable	$0.10 / 1M
Cache Write (1h)	$0.15 / 1M	$1.60 / 1M	Not applicable	$0.10 / 1M
Cache Read	$0.15 / 1M	$1.60 / 1M	Not applicable	$0.10 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	36.9K	500K	N/A	1.1M
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	SpaceXAI	Microsoft	OpenAI
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	—	2026-09-03	—
Description
Summary	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.	Grok 4.7 is SpaceXAI's flagship model for coding, agentic workflows, and professional knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering, self-verification, and long-context execution, while improving capabilities in document drafting, presentations, and other professional tasks. Trained with extended reinforcement learning focused on multi-hour problems, Grok 4.7 is optimized for sustained, complex task execution and natively supports the Grok Bot harness for conversational workflows. It also introduces an enhanced safeguard stack designed to combine strong jailbreak resistance with low refusal rates for legitimate technical work. Reported benchmark results use xhigh reasoning effort.	Microsoft MAI-Transcribe-2 speech-to-text. Billed per second of audio.	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.