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
- GPT-5.6 Sol ProOpenAIRemove
- Perceptron Mk1.5PerceptronRemove
- Hy4 previewTencentRemove
4 is the maximum. Remove one to add another.
| Attribute | Muse Spark Openmuse-spark-open | GPT-5.6 Sol Progpt-5.6-sol-pro | Perceptron Mk1.5perceptron-mk1.5 | Hy4 previewhy4-preview |
|---|---|---|---|---|
| Pricing | ||||
| Input | $1.25 / 1M | $5.00 / 1M | $0.15 / 1M | $0.834 / 1M |
| Output | $4.25 / 1M | $30.00 / 1M | $1.50 / 1M | $2.50 / 1M |
| Cache Write (5m) | $1.25 / 1M | $5.00 / 1M | $0.15 / 1M | $0.834 / 1M |
| Cache Write (1h) | $1.25 / 1M | $5.00 / 1M | $0.15 / 1M | $0.834 / 1M |
| Cache Read | $1.25 / 1M | $5.00 / 1M | $0.15 / 1M | $0.834 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 1M | 1M | 36.9K | 1M |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | Yes | No | Yes |
| Function Calling | Yes | Yes | No | Yes |
| JSON Mode | Yes | Yes | No | Yes |
| Streaming | Yes | Yes | Yes | Yes |
| Catalogue | ||||
| Provider | Meta | OpenAI | Perceptron | Tencent |
| Category | chat | chat | chat | chat |
| Charge type | Pay As You Go | 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. | GPT-5.6 Sol Pro uses the same underlying model as GPT-5.6 Sol, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning and more reliable execution, it is particularly well suited for advanced coding, long-horizon problem solving, and agentic workflows where accuracy and solution quality take priority over speed and cost. | Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token. | Tencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows. |