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
GPT-6.1 SolOpenAI Remove
GLM 5V TurboZ.AI Remove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs gemini-3.5-transcribe vs gpt-6.1-sol vs glm-5v-turbo
Attribute	Perceptron Mk1.5perceptron-mk1.5	Gemini 3.5 Transcribegemini-3.5-transcribe	GPT-6.1 Solgpt-6.1-sol	GLM 5V Turboglm-5v-turbo
Pricing
Input	$0.15 / 1M	— Not priced per input token	$2.00 / 1M	$1.20 / 1M
Output	$1.50 / 1M	— Not priced per output token	$10.00 / 1M	$4.00 / 1M
Cache Write (5m)	$0.15 / 1M	Not applicable	$2.00 / 1M	$1.20 / 1M
Cache Write (1h)	$0.15 / 1M	Not applicable	$2.00 / 1M	$1.20 / 1M
Cache Read	$0.15 / 1M	Not applicable	$2.00 / 1M	$1.20 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	36.9K	98.3K	1M	202.8K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	No	Yes	Yes	Yes
Function Calling	No	Yes	Yes	Yes
JSON Mode	No	No	Yes	Yes
Streaming	Yes	No	Yes	Yes
Catalogue
Provider	Perceptron	Google	OpenAI	Z.AI
Category	chat	voice	chat	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	2026-09-25	2026-09-25	—	—
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.	GPT-6.1 Sol is an upgraded high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra. It is optimized for agentic coding, computer use, document-heavy professional work, and multi-step business automation, delivering near-Astra-level capability at significantly lower cost. Compared with GPT-6 Sol, it offers improved factual reliability and stronger adherence to explicit constraints and user intent, making it well suited for complex, long-running agentic workflows where accurate and dependable execution is critical.	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.