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| Attribute | Muse Spark 1.3muse-spark-1.3 | S2 Pros2-pro | Nova-3nova-3 | GPT-6 Luna Progpt-6-luna-pro |
|---|---|---|---|---|
| Pricing | ||||
| Input | $1.25 / 1M | $0 / 1M | $0 / 1M | $0.10 / 1M |
| Output | $4.25 / 1M | $0 / 1M | $0 / 1M | $0.50 / 1M |
| Cache Write (5m) | $1.25 / 1M | Not applicable | Not applicable | $0.10 / 1M |
| Cache Write (1h) | $1.25 / 1M | Not applicable | Not applicable | $0.10 / 1M |
| Cache Read | $1.25 / 1M | Not applicable | Not applicable | $0.10 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 1M | N/A | N/A | 1.1M |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | No | No | Yes |
| Function Calling | Yes | No | No | Yes |
| JSON Mode | Yes | No | No | Yes |
| Streaming | Yes | No | No | Yes |
| Catalogue | ||||
| Provider | Meta | Fish Audio | Deepgram | OpenAI |
| Category | chat | voice | voice | chat |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | — | 2026-07-29 | 2026-07-15 | — |
| 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. | Fish Audio S2 Pro text-to-speech. Billed per UTF-8 byte of input text. | Deepgram Nova-3 speech-to-text. Billed per second of audio. | 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. |