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 | mai-ds-r1:freeNot in the catalogue | Muse Spark 1.3muse-spark-1.3 | Gemini 4 Argongemini-4-argon |
|---|---|---|---|
| Pricing | |||
| Input | — | $1.25 / 1M | $2.00 / 1M |
| Output | — | $4.25 / 1M | $10.00 / 1M |
| Cache Write (5m) | — | $1.25 / 1M | $2.00 / 1M |
| Cache Write (1h) | — | $1.25 / 1M | $2.00 / 1M |
| Cache Read | — | $1.25 / 1M | $2.00 / 1M |
| Web Search | — | $0 / 1M | $0 / 1M |
| Context | |||
| Max context | — | 1M | 1M |
| Max output | — | N/A | N/A |
| Capabilities | |||
| Vision | — | Yes | Yes |
| Function Calling | — | Yes | Yes |
| JSON Mode | — | Yes | Yes |
| Streaming | — | Yes | Yes |
| Catalogue | |||
| Provider | — | Meta | |
| 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. | Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response. |