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.

Gemini 3.5 TranscribeGoogle Remove
GLM 5V TurboZ.AI Remove
Transcribe 1 ProFish Audio Remove
Perceptron Mk1.5Perceptron Remove

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs glm-5v-turbo vs transcribe-1-pro vs perceptron-mk1.5
Attribute	Gemini 3.5 Transcribegemini-3.5-transcribe	GLM 5V Turboglm-5v-turbo	Transcribe 1 Protranscribe-1-pro	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	— Not priced per input token	$1.20 / 1M	— Not priced per input token	$0.15 / 1M
Output	— Not priced per output token	$4.00 / 1M	— Not priced per output token	$1.50 / 1M
Cache Write (5m)	Not applicable	$1.20 / 1M	Not applicable	$0.15 / 1M
Cache Write (1h)	Not applicable	$1.20 / 1M	Not applicable	$0.15 / 1M
Cache Read	Not applicable	$1.20 / 1M	Not applicable	$0.15 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	98.3K	202.8K	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	No	Yes	No	No
Streaming	No	Yes	No	Yes
Catalogue
Provider	Google	Z.AI	Fish Audio	Perceptron
Category	voice	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	2026-09-25
Description
Summary	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output 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.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.