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 | Hy4 previewhy4-preview | Nemotron Nano 9B V2 (Free)nemotron-nano-9b-v2 |
|---|---|---|
| Pricing | ||
| Input | $0.834 / 1M | $0 / 1M |
| Output | $2.50 / 1M | $0 / 1M |
| Cache Write (5m) | $0.834 / 1M | — |
| Cache Write (1h) | $0.834 / 1M | — |
| Cache Read | $0.834 / 1M | $0 / 1M |
| Web Search | $0 / 1M | — |
| Cache Write | — | $0 / 1M |
| Context | ||
| Max context | 1M | 131.1K |
| Max output | N/A | N/A |
| Capabilities | ||
| Vision | Yes | No |
| Function Calling | Yes | Yes |
| JSON Mode | Yes | Yes |
| Streaming | Yes | Yes |
| Catalogue | ||
| Provider | Tencent | NVIDIA |
| Category | chat | chat |
| Charge type | Pay As You Go | Free |
| Released | — | — |
| Description | ||
| Summary | 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. | NVIDIA Nemotron Nano 9B v2 is a 9B-parameter language model trained from scratch by NVIDIA, designed to handle both reasoning and non-reasoning tasks. It can generate an internal reasoning trace before producing a final answer, and this behavior is configurable via system prompts—allowing developers to enable or suppress visible reasoning as needed. |