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.
- mai-ds-r1:freeNot in the catalogueRemove
- Kimi K3.1 ProMoonShot AIRemove
- Muse Spark 1.3MetaRemove
- Perceptron Mk1.5PerceptronRemove
4 is the maximum. Remove one to add another.
| Attribute | mai-ds-r1:freeNot in the catalogue | Kimi K3.1 Prokimi-k3.1-pro | Muse Spark 1.3muse-spark-1.3 | Perceptron Mk1.5perceptron-mk1.5 |
|---|---|---|---|---|
| Pricing | ||||
| Input | — | $2.00 / 1M | $1.25 / 1M | $0.15 / 1M |
| Output | — | $10.00 / 1M | $4.25 / 1M | $1.50 / 1M |
| Cache Write (5m) | — | $2.00 / 1M | $1.25 / 1M | $0.15 / 1M |
| Cache Write (1h) | — | $2.00 / 1M | $1.25 / 1M | $0.15 / 1M |
| Cache Read | — | $2.00 / 1M | $1.25 / 1M | $0.15 / 1M |
| Web Search | — | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | — | 1M | 1M | 36.9K |
| Max output | — | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | — | Yes | Yes | No |
| Function Calling | — | Yes | Yes | No |
| JSON Mode | — | Yes | Yes | No |
| Streaming | — | Yes | Yes | Yes |
| Catalogue | ||||
| Provider | — | MoonShot AI | Meta | Perceptron |
| Category | — | chat | chat | chat |
| Charge type | — | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | — | — | — | 2026-09-25 |
| Description | ||||
| Summary | — | Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model, building on Kimi K3 with enhanced post-training for advanced reasoning and autonomous task execution. It features a 1M-token context window and native image and video understanding, enabling complex, long-context multimodal workflows. Optimized for long-horizon coding, 3D creation, financial research, and end-to-end agentic knowledge work, Kimi K3.1 Pro is well suited for autonomous software engineering, multimodal analysis, and complex professional workflows that require sustained reasoning and reliable execution. | 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. | Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token. |