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 | Veo 3veo3 | Muse Spark 1.3muse-spark-1.3 | Gemini 3.8 Flashgemini-3.8-flash | GPT-6 Astra Progpt-6-astra-pro |
|---|---|---|---|---|
| Pricing | ||||
| Request | $1.26 / request | — | — | — |
| Billing | Pay Per Request | — | — | — |
| Cache Write (5m) | Not applicable | $1.25 / 1M | $0.75 / 1M | $10.00 / 1M |
| Cache Write (1h) | Not applicable | $1.25 / 1M | $0.75 / 1M | $10.00 / 1M |
| Cache Read | Not applicable | $1.25 / 1M | $0.75 / 1M | $10.00 / 1M |
| Input | — | $1.25 / 1M | $0.75 / 1M | $10.00 / 1M |
| Output | — | $4.25 / 1M | $3.75 / 1M | $50.00 / 1M |
| Web Search | — | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | N/A | 1M | 1M | 1M |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | No | Yes | Yes | Yes |
| Function Calling | No | Yes | Yes | Yes |
| JSON Mode | No | Yes | Yes | Yes |
| Streaming | No | Yes | Yes | Yes |
| Catalogue | ||||
| Provider | Meta | OpenAI | ||
| Category | video | chat | chat | chat |
| Charge type | Pay Per Request | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | — | — | — | — |
| Description | ||||
| Summary | — | 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. | Gemini 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality. | 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. |