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.
| Attribute | Perceptron Mk1.5perceptron-mk1.5 | GPT-6 Solgpt-6-sol | GLM 5V Turboglm-5v-turbo |
|---|---|---|---|
| Pricing | |||
| Input | $0.15 / 1M | $2.00 / 1M | $1.20 / 1M |
| Output | $1.50 / 1M | $10.00 / 1M | $4.00 / 1M |
| Cache Write (5m) | $0.15 / 1M | $2.00 / 1M | $1.20 / 1M |
| Cache Write (1h) | $0.15 / 1M | $2.00 / 1M | $1.20 / 1M |
| Cache Read | $0.15 / 1M | $2.00 / 1M | $1.20 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | |||
| Max context | 36.9K | 1.1M | 202.8K |
| Max output | N/A | N/A | N/A |
| Capabilities | |||
| Vision | No | Yes | Yes |
| Function Calling | No | Yes | Yes |
| JSON Mode | No | Yes | Yes |
| Streaming | Yes | Yes | Yes |
| Catalogue | |||
| Provider | Perceptron | OpenAI | Z.AI |
| Category | chat | chat | chat |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | 2026-09-25 | — | — |
| Description | |||
| Summary | Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token. | GPT-6 Sol is OpenAI's cost-efficient high-end model in the GPT-6 series, positioned between the flagship GPT-6 Astra and the fast GPT-6 Luna tier. It is designed for professional knowledge work, agentic coding, business workflow automation, and computer-use tasks, with particular strength in long-horizon software engineering across real-world codebases. GPT-6 Sol approaches Astra-level factual reliability at a significantly lower cost, while sharing its clear and concise communication style. This balance of capability, reliability, and efficiency makes it well suited for production agents, complex engineering workflows, and scalable professional applications | 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. |