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.
- Nemotron 3.5 Super VL (Free)NVIDIARemove
- Muse Spark OpenMetaRemove
- GPT-6.1 TerraOpenAIRemove
- Hy3TencentRemove
4 is the maximum. Remove one to add another.
| Attribute | Nemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:free | Muse Spark Openmuse-spark-open | GPT-6.1 Terragpt-6.1-terra | Hy3hy3 |
|---|---|---|---|---|
| Pricing | ||||
| Input | $0 / 1M | $1.25 / 1M | $1.00 / 1M | $0.14 / 1M |
| Output | $0 / 1M | $4.25 / 1M | $5.00 / 1M | $0.58 / 1M |
| Cache Write | $0 / 1M | — | — | — |
| Cache Read | $0 / 1M | $1.25 / 1M | $1.00 / 1M | $0.14 / 1M |
| Cache Write (5m) | — | $1.25 / 1M | $1.00 / 1M | $0.14 / 1M |
| Cache Write (1h) | — | $1.25 / 1M | $1.00 / 1M | $0.14 / 1M |
| Web Search | — | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 1M | 1M | 1M | 262K |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | Yes | Yes | Yes |
| Function Calling | Yes | Yes | Yes | Yes |
| JSON Mode | Yes | Yes | Yes | Yes |
| Streaming | Yes | Yes | No | Yes |
| Catalogue | ||||
| Provider | NVIDIA | Meta | OpenAI | Tencent |
| Category | chat | chat | chat | chat |
| Charge type | Free | Pay As You Go | 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. | 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. | 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. | Hy3 is Tencent's 295B-parameter Mixture-of-Experts (MoE) model, activating 21B parameters per token across 192 experts, and designed for reasoning, agentic workflows, and production-scale applications. It supports a 256K-token context window and configurable reasoning modes, including no-think, low, and high reasoning effort to balance speed and problem-solving depth. Optimized for long-horizon tasks, coding, and tool-driven execution, Hy3 delivers strong performance in multi-turn reasoning, constraint tracking, and stable tool calling. With an emphasis on grounded responses and reduced hallucinations, it is well suited for software development, document processing, financial analysis, game development, and enterprise agent workflows. |