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.
4 is the maximum. Remove one to add another.
| Attribute | GPT-6 Astra Progpt-6-astra-pro | Muse Spark 1.3muse-spark-1.3 | Veo 3veo3 | GLM 5.3 Flashglm-5.3-flash |
|---|---|---|---|---|
| Pricing | ||||
| Input | $10.00 / 1M | $1.25 / 1M | — | $0.075 / 1M |
| Output | $50.00 / 1M | $4.25 / 1M | — | $0.25 / 1M |
| Cache Write (5m) | $10.00 / 1M | $1.25 / 1M | Not applicable | $0.075 / 1M |
| Cache Write (1h) | $10.00 / 1M | $1.25 / 1M | Not applicable | $0.075 / 1M |
| Cache Read | $10.00 / 1M | $1.25 / 1M | Not applicable | $0.075 / 1M |
| Web Search | $0 / 1M | $0 / 1M | — | $0 / 1M |
| Request | — | — | $1.26 / request | — |
| Billing | — | — | Pay Per Request | — |
| Context | ||||
| Max context | 1M | 1M | N/A | 1M |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | Yes | No | Yes |
| Function Calling | Yes | Yes | No | Yes |
| JSON Mode | Yes | Yes | No | Yes |
| Streaming | Yes | Yes | No | Yes |
| Catalogue | ||||
| Provider | OpenAI | Meta | Z.AI | |
| Category | chat | chat | video | chat |
| Charge type | Pay As You Go | Pay As You Go | Pay Per Request | Pay As You Go |
| Released | — | — | — | — |
| Description | ||||
| Summary | GPT-6 Astra Pro uses the same underlying model as GPT-6 Astra, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is well suited for demanding coding, analysis, and agentic workflows where solution quality takes priority over speed and cost. | Muse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows. | — | 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. |