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| Attribute | Muse Spark 1.3muse-spark-1.3 | GPT-5 Nanogpt-5-nano-2025-08-07 |
|---|---|---|
| Pricing | ||
| Input | $1.25 / 1M | $0.0175 / 1M |
| Output | $4.25 / 1M | $0.14 / 1M |
| Cache Write (5m) | $1.25 / 1M | $0.0175 / 1M |
| Cache Write (1h) | $1.25 / 1M | $0.0175 / 1M |
| Cache Read | $1.25 / 1M | $0.0175 / 1M |
| Web Search | $0 / 1M | $0 / 1M |
| Context | ||
| Max context | 1M | 400K |
| Max output | N/A | N/A |
| Capabilities | ||
| Vision | Yes | No |
| Function Calling | Yes | Yes |
| JSON Mode | Yes | Yes |
| Streaming | Yes | Yes |
| Catalogue | ||
| Provider | Meta | OpenAI |
| Category | chat | chat |
| Charge type | 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. | GPT-5-Nano is the smallest and fastest GPT-5 variant, built for ultra-low latency and cost-sensitive use cases like developer tools and real-time interactions. While it offers shallower reasoning than larger GPT-5 models, it preserves core instruction-following and safety features and succeeds GPT-4.1-nano as a lightweight option. |