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.
- Kimi K3.1 ProMoonShot AIRemove
- Veo 3GoogleRemove
- GPT-6.1 TerraOpenAIRemove
- Nemotron 3.5 Super VL (Free)NVIDIARemove
4 is the maximum. Remove one to add another.
| Attribute | Kimi K3.1 Prokimi-k3.1-pro | Veo 3veo3 | GPT-6.1 Terragpt-6.1-terra | Nemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:free |
|---|---|---|---|---|
| Pricing | ||||
| Input | $2.00 / 1M | — | $1.00 / 1M | $0 / 1M |
| Output | $10.00 / 1M | — | $5.00 / 1M | $0 / 1M |
| Cache Write (5m) | $2.00 / 1M | Not applicable | $1.00 / 1M | — |
| Cache Write (1h) | $2.00 / 1M | Not applicable | $1.00 / 1M | — |
| Cache Read | $2.00 / 1M | Not applicable | $1.00 / 1M | $0 / 1M |
| Web Search | $0 / 1M | — | $0 / 1M | — |
| Request | — | $1.26 / request | — | — |
| Billing | — | Pay Per Request | — | — |
| Cache Write | — | — | — | $0 / 1M |
| Context | ||||
| Max context | 1M | N/A | 1M | 1M |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | No | Yes | Yes |
| Function Calling | Yes | No | Yes | Yes |
| JSON Mode | Yes | No | Yes | Yes |
| Streaming | Yes | No | No | Yes |
| Catalogue | ||||
| Provider | MoonShot AI | OpenAI | NVIDIA | |
| Category | chat | video | chat | chat |
| Charge type | Pay As You Go | Pay Per Request | 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. | — | GPT-6.1 Terra is OpenAI’s mid-tier model in the GPT-6.1 series, designed to balance capability, speed, and cost efficiency. Positioned below GPT-6.1 Sol, it delivers strong performance across everyday agentic workflows, coding, and professional writing, with particular strengths in screenshot understanding and on-screen content analysis. Optimized for high-volume production workloads, GPT-6.1 Terra is well suited for coding assistants, visual interface analysis, workflow automation, and scalable agentic applications that require reliable performance at an accessible cost. | 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. |