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.
- Veo 3GoogleRemove
- Nemotron 3.5 Super VL (Free)NVIDIARemove
- Gemini 4 ArgonGoogleRemove
- Muse Spark OpenMetaRemove
4 is the maximum. Remove one to add another.
| Attribute | Veo 3veo3 | Nemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:free | Gemini 4 Argongemini-4-argon | Muse Spark Openmuse-spark-open |
|---|---|---|---|---|
| Pricing | ||||
| Request | $1.26 / request | — | — | — |
| Billing | Pay Per Request | — | — | — |
| Cache Write (5m) | Not applicable | — | $2.00 / 1M | $1.25 / 1M |
| Cache Write (1h) | Not applicable | — | $2.00 / 1M | $1.25 / 1M |
| Cache Read | Not applicable | $0 / 1M | $2.00 / 1M | $1.25 / 1M |
| Input | — | $0 / 1M | $2.00 / 1M | $1.25 / 1M |
| Output | — | $0 / 1M | $10.00 / 1M | $4.25 / 1M |
| Cache Write | — | $0 / 1M | — | — |
| Web Search | — | — | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | N/A | 1M | 1M | 1M |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | No | Yes | Yes | Yes |
| Function Calling | No | Yes | Yes | Yes |
| JSON Mode | No | Yes | Yes | Yes |
| Streaming | No | Yes | Yes | Yes |
| Catalogue | ||||
| Provider | NVIDIA | Meta | ||
| Category | video | chat | chat | chat |
| Charge type | Pay Per Request | Free | Pay As You Go | Pay As You Go |
| Released | — | — | — | — |
| Description | ||||
| Summary | — | 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. | Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response. | 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. |