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 | Claude Sonnet 4.6claude-sonnet-4-6 | Nemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:free |
|---|---|---|
| Pricing | ||
| Input | $3.00 / 1M | $0 / 1M |
| Output | $15.00 / 1M | $0 / 1M |
| Cache Write (5m) | $3.75 / 1M | — |
| Cache Write (1h) | $6.00 / 1M | — |
| Cache Read | $0.30 / 1M | $0 / 1M |
| Web Search | $0 / 1M | — |
| Cache Write | — | $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 | Anthropic | NVIDIA |
| Category | chat | chat |
| Charge type | Pay As You Go | Free |
| Released | — | — |
| Description | ||
| Summary | Sonnet 4.6 is Anthropic's most capable Sonnet-class model, delivering frontier-level performance across coding, agent workflows, and professional knowledge tasks. It excels at iterative development, complex codebase navigation, and end-to-end project execution, supported by strong contextual understanding and persistent task handling. Beyond engineering tasks, Sonnet 4.6 produces polished documents and analyses while demonstrating reliable computer-use capabilities for web QA, workflow automation, and structured productivity workflows, making it well suited for both development and professional applications. | NVIDIA Nemotron 3.5 Super VL is an open multimodal Mixture-of-Experts (MoE) model featuring 120B total parameters with 12B activated per token. Built on a hybrid Mamba–Transformer architecture with multi-token prediction, it supports text, images, documents, GUI screenshots, and video inputs, along with a 1M-token context window for complex, long-horizon workflows. Optimized for multimodal reasoning, visual understanding, and agentic tool use, the model supports configurable reasoning modes and token budgets. It is well suited for document intelligence, web research, coding validation, customer service, GUI analysis, and video understanding, enabling efficient, long-running multimodal agent applications. |