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.

GLM 5 TurboZ.AI Remove
Transcribe 1 ProFish Audio Remove
Perceptron Mk1.5Perceptron Remove
GPT-6 LunaOpenAI Remove

4 is the maximum. Remove one to add another.

glm-5-turbo vs transcribe-1-pro vs perceptron-mk1.5 vs gpt-6-luna
Attribute	GLM 5 Turboglm-5-turbo	Transcribe 1 Protranscribe-1-pro	Perceptron Mk1.5perceptron-mk1.5	GPT-6 Lunagpt-6-luna
Pricing
Input	$0.96 / 1M	— Not priced per input token	$0.15 / 1M	$0.10 / 1M
Output	$3.20 / 1M	— Not priced per output token	$1.50 / 1M	$0.50 / 1M
Cache Write (5m)	$0.96 / 1M	Not applicable	$0.15 / 1M	$0.10 / 1M
Cache Write (1h)	$0.96 / 1M	Not applicable	$0.15 / 1M	$0.10 / 1M
Cache Read	$0.96 / 1M	Not applicable	$0.15 / 1M	$0.10 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	202.8K	N/A	36.9K	1.1M
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	No	No	Yes
Function Calling	Yes	No	No	Yes
JSON Mode	Yes	No	No	Yes
Streaming	Yes	No	Yes	Yes
Catalogue
Provider	Z.AI	Fish Audio	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	—	2026-09-24	2026-09-25	—
Description
Summary	GLM-5 Turbo is a high-performance model from Z.ai optimized for fast inference and agent-driven workflows. Designed for real-world environments such as OpenClaw scenarios, it delivers strong performance across long execution chains and complex task pipelines. The model features improved instruction decomposition, tool integration, scheduled and persistent execution, and enhanced stability for extended multi-step tasks, making it well suited for autonomous agents and production automation workflows.	Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <\|speaker:0\|>. Billed per second of audio.	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.