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
GPT-6 LunaOpenAI Remove
Transcribe 1 ProFish Audio Remove
MiMo-V2-OmniXiaomi Remove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs gpt-6-luna vs transcribe-1-pro vs mimo-v2-omni
Attribute	Perceptron Mk1.5perceptron-mk1.5	GPT-6 Lunagpt-6-luna	Transcribe 1 Protranscribe-1-pro	MiMo-V2-Omnimimo-v2-omni
Pricing
Input	$0.15 / 1M	$0.10 / 1M	— Not priced per input token	$0.40 / 1M
Output	$1.50 / 1M	$0.50 / 1M	— Not priced per output token	$2.00 / 1M
Cache Write (5m)	$0.15 / 1M	$0.10 / 1M	Not applicable	$0.40 / 1M
Cache Write (1h)	$0.15 / 1M	$0.10 / 1M	Not applicable	$0.40 / 1M
Cache Read	$0.15 / 1M	$0.10 / 1M	Not applicable	$0.40 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	36.9K	1.1M	N/A	262.1K
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	OpenAI	Fish Audio	Xiaomi
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	—	2026-09-24	—
Description
Summary	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.	Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <\|speaker:0\|>. Billed per second of audio.	MiMo-V2-Omni is a frontier omni-modal model that natively processes image, video, and audio inputs within a unified architecture. It combines strong multimodal perception with advanced agentic capabilities, including visual grounding, multi-step planning, tool use, and code execution. With a 256K context window, MiMo-V2-Omni is well suited for complex real-world tasks that span multiple modalities, enabling integrated reasoning and execution across diverse input types.