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.
- Muse Spark OpenMetaRemove
- Perceptron Mk1.5PerceptronRemove
- mai-ds-r1:freeNot in the catalogueRemove
- Muse Spark 1.3MetaRemove
4 is the maximum. Remove one to add another.
| Attribute | Muse Spark Openmuse-spark-open | Perceptron Mk1.5perceptron-mk1.5 | mai-ds-r1:freeNot in the catalogue | Muse Spark 1.3muse-spark-1.3 |
|---|---|---|---|---|
| Pricing | ||||
| Input | $1.25 / 1M | $0.15 / 1M | — | $1.25 / 1M |
| Output | $4.25 / 1M | $1.50 / 1M | — | $4.25 / 1M |
| Cache Write (5m) | $1.25 / 1M | $0.15 / 1M | — | $1.25 / 1M |
| Cache Write (1h) | $1.25 / 1M | $0.15 / 1M | — | $1.25 / 1M |
| Cache Read | $1.25 / 1M | $0.15 / 1M | — | $1.25 / 1M |
| Web Search | $0 / 1M | $0 / 1M | — | $0 / 1M |
| Context | ||||
| Max context | 1M | 36.9K | — | 1M |
| Max output | N/A | N/A | — | N/A |
| Capabilities | ||||
| Vision | Yes | No | — | Yes |
| Function Calling | Yes | No | — | Yes |
| JSON Mode | Yes | No | — | Yes |
| Streaming | Yes | Yes | — | Yes |
| Catalogue | ||||
| Provider | Meta | Perceptron | — | Meta |
| Category | chat | chat | — | chat |
| Charge type | Pay As You Go | Pay As You Go | — | Pay As You Go |
| Released | — | 2026-09-25 | — | — |
| Description | ||||
| Summary | Muse Spark Open is an open-weight, coding-optimized model designed for agentic software engineering workflows. It delivers strong first-attempt accuracy, reliable tool calling, and deep codebase understanding, enabling effective development across real-world repositories. Optimized for autonomous coding agents, complex code navigation, and tool-driven development, Muse Spark Open is well suited for software engineering automation, debugging, code generation, and multi-step coding workflows where accuracy and reliable execution are essential. | Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token. | — | 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. |