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 | Perceptron Mk1.5perceptron-mk1.5 | Muse Spark Openmuse-spark-open | Nemotron 3.5 Lightningnemotron-3.5-lightning |
|---|---|---|---|
| Pricing | |||
| Input | $0.15 / 1M | $1.25 / 1M | — Not priced per input token |
| Output | $1.50 / 1M | $4.25 / 1M | — Not priced per output token |
| Cache Write (5m) | $0.15 / 1M | $1.25 / 1M | $0.00 / 1M |
| Cache Write (1h) | $0.15 / 1M | $1.25 / 1M | $0.00 / 1M |
| Cache Read | $0.15 / 1M | $1.25 / 1M | $0.00 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | |||
| Max context | 36.9K | 1M | 1M |
| Max output | N/A | N/A | N/A |
| Capabilities | |||
| Vision | No | Yes | Yes |
| Function Calling | No | Yes | Yes |
| JSON Mode | No | Yes | Yes |
| Streaming | Yes | Yes | Yes |
| Catalogue | |||
| Provider | Perceptron | Meta | NVIDIA |
| Category | chat | chat | chat |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | 2026-09-25 | — | — |
| Description | |||
| Summary | Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token. | 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. | NVIDIA Nemotron 3.5 Lightning is an open Mixture-of-Experts (MoE) model with 30B total parameters and 3B active per token, optimized for high-throughput agentic workloads and efficient inference. Its lightweight active compute and open design make it well suited for specialized agents, domain-specific customization, and scalable production deployments where speed, cost efficiency, and adaptability are key. |