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
Gemini 3.5 TranscribeGoogle Remove
Transcribe 1 ProFish Audio Remove
GLM 5 TurboZ.AI Remove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs gemini-3.5-transcribe vs transcribe-1-pro vs glm-5-turbo
Attribute	Perceptron Mk1.5perceptron-mk1.5	Gemini 3.5 Transcribegemini-3.5-transcribe	Transcribe 1 Protranscribe-1-pro	GLM 5 Turboglm-5-turbo
Pricing
Input	$0.15 / 1M	— Not priced per input token	— Not priced per input token	$0.96 / 1M
Output	$1.50 / 1M	— Not priced per output token	— Not priced per output token	$3.20 / 1M
Cache Write (5m)	$0.15 / 1M	Not applicable	Not applicable	$0.96 / 1M
Cache Write (1h)	$0.15 / 1M	Not applicable	Not applicable	$0.96 / 1M
Cache Read	$0.15 / 1M	Not applicable	Not applicable	$0.96 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	36.9K	98.3K	N/A	202.8K
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	No	No	Yes
Streaming	Yes	No	No	Yes
Catalogue
Provider	Perceptron	Google	Fish Audio	Z.AI
Category	chat	voice	voice	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	2026-09-25	2026-09-25	2026-09-24	—
Description
Summary	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.	Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <\|speaker:0\|>. Billed per second of audio.	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.