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 5.3 Flashglm-5.3-flash | mai-ds-r1:freeNot in the catalogue | GPT-6 Luna Progpt-6-luna-pro |
|---|---|---|---|
| Pricing | |||
| Input | $0.075 / 1M | — | $0.10 / 1M |
| Output | $0.25 / 1M | — | $0.50 / 1M |
| Cache Write (5m) | $0.075 / 1M | — | $0.10 / 1M |
| Cache Write (1h) | $0.075 / 1M | — | $0.10 / 1M |
| Cache Read | $0.075 / 1M | — | $0.10 / 1M |
| Web Search | $0 / 1M | — | $0 / 1M |
| Context | |||
| Max context | 1M | — | 1.1M |
| Max output | N/A | — | N/A |
| Capabilities | |||
| Vision | Yes | — | Yes |
| Function Calling | Yes | — | Yes |
| JSON Mode | Yes | — | Yes |
| Streaming | Yes | — | Yes |
| Catalogue | |||
| Provider | Z.AI | — | OpenAI |
| Category | chat | — | chat |
| Charge type | Pay As You Go | — | Pay As You Go |
| Released | — | — | — |
| Description | |||
| Summary | GLM-5.3-Flash is Z.AI's efficient native multimodal model, designed for coding and long-horizon agentic workflows. It combines strong multimodal capabilities with an architecture optimized for responsive, cost-efficient task execution. Built on a hybrid sparse and linear attention architecture, GLM-5.3-Flash maintains accurate long-context behavior while reducing computational overhead, making it well suited for coding agents, extended multi-step tasks, and scalable production workloads. | — | 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. |