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 | GLM 5 Turboglm-5-turbo | GPT-6 Luna Progpt-6-luna-pro | Perceptron Mk1.5perceptron-mk1.5 |
|---|---|---|---|
| Pricing | |||
| Input | $0.96 / 1M | $0.10 / 1M | $0.15 / 1M |
| Output | $3.20 / 1M | $0.50 / 1M | $1.50 / 1M |
| Cache Write (5m) | $0.96 / 1M | $0.10 / 1M | $0.15 / 1M |
| Cache Write (1h) | $0.96 / 1M | $0.10 / 1M | $0.15 / 1M |
| Cache Read | $0.96 / 1M | $0.10 / 1M | $0.15 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | |||
| Max context | 202.8K | 1.1M | 36.9K |
| Max output | N/A | N/A | N/A |
| Capabilities | |||
| Vision | Yes | Yes | No |
| Function Calling | Yes | Yes | No |
| JSON Mode | Yes | Yes | No |
| Streaming | Yes | Yes | Yes |
| Catalogue | |||
| Provider | Z.AI | OpenAI | Perceptron |
| Category | chat | chat | chat |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | — | — | 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. | GPT-6 Luna Pro uses the same underlying model as GPT-6 Luna, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. It combines Luna's speed and cost efficiency with deeper reasoning and more reliable multi-step execution, making it well suited for advanced coding, computer use, and agentic workflows where higher solution quality is needed without moving to a larger GPT-6 tier. | Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token. |