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
- Kimi K3.1 ProMoonShot AIRemove
- Gemini 4 ArgonGoogleRemove
- Nemotron 3.5 Super VL (Free)NVIDIARemove
4 is the maximum. Remove one to add another.
| Attribute | Veo 3veo3 | Kimi K3.1 Prokimi-k3.1-pro | Gemini 4 Argongemini-4-argon | Nemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:free |
|---|---|---|---|---|
| Pricing | ||||
| Request | $1.26 / request | — | — | — |
| Billing | Pay Per Request | — | — | — |
| Cache Write (5m) | Not applicable | $2.00 / 1M | $2.00 / 1M | — |
| Cache Write (1h) | Not applicable | $2.00 / 1M | $2.00 / 1M | — |
| Cache Read | Not applicable | $2.00 / 1M | $2.00 / 1M | $0 / 1M |
| Input | — | $2.00 / 1M | $2.00 / 1M | $0 / 1M |
| Output | — | $10.00 / 1M | $10.00 / 1M | $0 / 1M |
| Web Search | — | $0 / 1M | $0 / 1M | — |
| Cache Write | — | — | — | $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 | MoonShot AI | NVIDIA | ||
| Category | video | chat | chat | chat |
| Charge type | Pay Per Request | Pay As You Go | Pay As You Go | Free |
| Released | — | — | — | — |
| Description | ||||
| Summary | — | Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model, building on Kimi K3 with enhanced post-training for advanced reasoning and autonomous task execution. It features a 1M-token context window and native image and video understanding, enabling complex, long-context multimodal workflows. Optimized for long-horizon coding, 3D creation, financial research, and end-to-end agentic knowledge work, Kimi K3.1 Pro is well suited for autonomous software engineering, multimodal analysis, and complex professional workflows that require sustained reasoning and reliable execution. | 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. | 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. |