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 | Aura-2aura-2 | Claude Sonnet 5.5claude-sonnet-5.5 | S1s1 | Muse Spark 1.3muse-spark-1.3 |
|---|---|---|---|---|
| Pricing | ||||
| Input | $0 / 1M | $2.00 / 1M | $0 / 1M | $1.25 / 1M |
| Output | $0 / 1M | $10.00 / 1M | $0 / 1M | $4.25 / 1M |
| Cache Write (5m) | Not applicable | $2.50 / 1M | Not applicable | $1.25 / 1M |
| Cache Write (1h) | Not applicable | $4.00 / 1M | Not applicable | $1.25 / 1M |
| Cache Read | Not applicable | $0.20 / 1M | Not applicable | $1.25 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | N/A | 1M | N/A | 1M |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | No | Yes | No | Yes |
| Function Calling | No | Yes | No | Yes |
| JSON Mode | No | Yes | No | Yes |
| Streaming | No | Yes | No | Yes |
| Catalogue | ||||
| Provider | Deepgram | Anthropic | Fish Audio | Meta |
| Category | voice | chat | voice | chat |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | 2026-07-16 | — | 2026-07-29 | — |
| Description | ||||
| Summary | Deepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character. | Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor. | Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text. | 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. |