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 | Muse Spark 1.3muse-spark-1.3 | Voxtral Small 24B 2507 STTvoxtral-small-24b-2507-stt | Qwen3 ASR 0.6Bqwen3-asr-0.6b |
|---|---|---|---|
| Pricing | |||
| Input | $1.25 / 1M | $0 / 1M | $0 / 1M |
| Output | $4.25 / 1M | $0 / 1M | $0 / 1M |
| Cache Write (5m) | $1.25 / 1M | Not applicable | Not applicable |
| Cache Write (1h) | $1.25 / 1M | Not applicable | Not applicable |
| Cache Read | $1.25 / 1M | Not applicable | Not applicable |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | |||
| Max context | 1M | N/A | N/A |
| Max output | N/A | N/A | N/A |
| Capabilities | |||
| Vision | Yes | No | No |
| Function Calling | Yes | No | No |
| JSON Mode | Yes | No | No |
| Streaming | Yes | No | No |
| Catalogue | |||
| Provider | Meta | Mistral AI | Qwen |
| Category | chat | voice | voice |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | — | 2026-08-13 | 2026-08-13 |
| 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. | Mistral AI Voxtral Small (24B) speech-to-text. Billed per second of audio. | Qwen3-ASR 0.6B speech-to-text. Billed per second of audio. |