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 LunaOpenAI Remove
Perceptron Mk1.5Perceptron Remove
GLM 5V TurboZ.AI Remove
Transcribe 1 ProFish Audio Remove

4 is the maximum. Remove one to add another.

gpt-6-luna vs perceptron-mk1.5 vs glm-5v-turbo vs transcribe-1-pro
Attribute	GPT-6 Lunagpt-6-luna	Perceptron Mk1.5perceptron-mk1.5	GLM 5V Turboglm-5v-turbo	Transcribe 1 Protranscribe-1-pro
Pricing
Input	$0.10 / 1M	$0.15 / 1M	$1.20 / 1M	— Not priced per input token
Output	$0.50 / 1M	$1.50 / 1M	$4.00 / 1M	— Not priced per output token
Cache Write (5m)	$0.10 / 1M	$0.15 / 1M	$1.20 / 1M	Not applicable
Cache Write (1h)	$0.10 / 1M	$0.15 / 1M	$1.20 / 1M	Not applicable
Cache Read	$0.10 / 1M	$0.15 / 1M	$1.20 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1.1M	36.9K	202.8K	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	Z.AI	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 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.	GLM-5V-Turbo is Z.ai's first native multimodal agent foundation model, designed for vision-based coding and agent-driven workflows. It natively supports image, video, and text inputs, enabling integrated multimodal reasoning and execution. The model excels at long-horizon planning, complex coding, and multi-step task execution, and works seamlessly with agents to complete the full loop of “perceive → plan → execute”, making it well suited for advanced multimodal automation and real-world agent systems.	Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <\|speaker:0\|>. Billed per second of audio.