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.

GPT-6.1 SolOpenAI Remove
Perceptron Mk1.5Perceptron Remove
Gemini 3.5 TranscribeGoogle Remove
GLM 5 TurboZ.AI Remove

4 is the maximum. Remove one to add another.

gpt-6.1-sol vs perceptron-mk1.5 vs gemini-3.5-transcribe vs glm-5-turbo
Attribute	GPT-6.1 Solgpt-6.1-sol	Perceptron Mk1.5perceptron-mk1.5	Gemini 3.5 Transcribegemini-3.5-transcribe	GLM 5 Turboglm-5-turbo
Pricing
Input	$2.00 / 1M	$0.15 / 1M	— Not priced per input token	$0.96 / 1M
Output	$10.00 / 1M	$1.50 / 1M	— Not priced per output token	$3.20 / 1M
Cache Write (5m)	$2.00 / 1M	$0.15 / 1M	Not applicable	$0.96 / 1M
Cache Write (1h)	$2.00 / 1M	$0.15 / 1M	Not applicable	$0.96 / 1M
Cache Read	$2.00 / 1M	$0.15 / 1M	Not applicable	$0.96 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	36.9K	98.3K	202.8K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	No	Yes	Yes
Function Calling	Yes	No	Yes	Yes
JSON Mode	Yes	No	No	Yes
Streaming	Yes	Yes	No	Yes
Catalogue
Provider	OpenAI	Perceptron	Google	Z.AI
Category	chat	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	2026-09-25	—
Description
Summary	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.	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.	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.