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 | Aura-2aura-2 | Muse Spark 1.3muse-spark-1.3 | Universal-3.5 Prouniversal-3-5-pro |
|---|---|---|---|
| Pricing | |||
| Input | $0 / 1M | $1.25 / 1M | $0 / 1M |
| Output | $0 / 1M | $4.25 / 1M | $0 / 1M |
| Cache Write (5m) | Not applicable | $1.25 / 1M | Not applicable |
| Cache Write (1h) | Not applicable | $1.25 / 1M | Not applicable |
| Cache Read | Not applicable | $1.25 / 1M | Not applicable |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | |||
| Max context | N/A | 1M | N/A |
| Max output | N/A | N/A | N/A |
| Capabilities | |||
| Vision | No | Yes | No |
| Function Calling | No | Yes | No |
| JSON Mode | No | Yes | No |
| Streaming | No | Yes | No |
| Catalogue | |||
| Provider | Deepgram | Meta | AssemblyAI |
| Category | voice | chat | voice |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | 2026-07-16 | — | 2026-09-22 |
| Description | |||
| Summary | Deepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character. | 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. | AssemblyAI Universal-3.5 Pro speech-to-text. Billed per second of audio. |