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
Gemini 3.5 TranscribeGoogle Remove
Transcribe 1 ProFish Audio Remove
Perceptron Mk1.5Perceptron Remove

4 is the maximum. Remove one to add another.

glm-5-turbo vs gemini-3.5-transcribe vs transcribe-1-pro vs perceptron-mk1.5
Attribute	GLM 5 Turboglm-5-turbo	Gemini 3.5 Transcribegemini-3.5-transcribe	Transcribe 1 Protranscribe-1-pro	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	$0.96 / 1M	— Not priced per input token	— Not priced per input token	$0.15 / 1M
Output	$3.20 / 1M	— Not priced per output token	— Not priced per output token	$1.50 / 1M
Cache Write (5m)	$0.96 / 1M	Not applicable	Not applicable	$0.15 / 1M
Cache Write (1h)	$0.96 / 1M	Not applicable	Not applicable	$0.15 / 1M
Cache Read	$0.96 / 1M	Not applicable	Not applicable	$0.15 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	202.8K	98.3K	N/A	36.9K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	No	No
Function Calling	Yes	Yes	No	No
JSON Mode	Yes	No	No	No
Streaming	Yes	No	No	Yes
Catalogue
Provider	Z.AI	Google	Fish Audio	Perceptron
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	2026-09-24	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.	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.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.