Overview
NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...
Our take
Among the various AI chatbots and assistants available, NVIDIA Nemotron 3.5 Super VL stands out for its specific focus on complex, multimodal tasks. Unlike more general-purpose models such as ChatGPT or Gemini, this model is designed with a 1,048,576-token context window and built-in reasoning capabilities, making it suitable for scenarios like extracting specific data points from extensive research papers that include both text and images. Its ability to accept images as input (vision-capable) further differentiates it from text-only alternatives. The model offers structured JSON outputs and tool/function calling, which can be beneficial for integration into automated workflows. It is entirely free to use via the OpenRouter API, though users should be aware that availability and rate limits are dependent on that provider. This tool is ideal for researchers or developers who need to process large, multimodal datasets and require structured output without incurring direct model costs. For those seeking a robust, free-to-use option for analytical tasks involving diverse input types, NVIDIA Nemotron 3.5 Super VL merits consideration.
How NVIDIA: Nemotron 3.5 Super VL stacks up
Among the 380 chatbots & llms tools in our directory, it ranks #3 of 375 on quality (9.2/10), 14% above the 375-tool average of 8.1, and its $0.15/1M input-token rate is in the budget end — 92% cheaper than the 363-model average of $1.94/1M.
Weighing quality against cost, NVIDIA: Nemotron 3.5 Super VL's cost-per-quality-point of $0.02 places it in the top 22% for value among chatbots & llms tools.
NVIDIA: Nemotron 3.5 Super VL in depth
NVIDIA: Nemotron 3.5 Super VL, built by NVIDIA, sits in the chatbots & llms space and is free to start, with paid plans from $0.15/1M tokens. Our editors rate it 9.2 out of 10 based on capability, ecosystem and value. It handles a context window of 1,048,576 tokens.
On the feature side, NVIDIA: Nemotron 3.5 Super VL brings 1,048,576-token context window, vision (image input), reasoning / chain-of-thought and tool / function calling. These are the capabilities that most shape day-to-day use and separate it from thinner alternatives.
Its biggest strength is completely free to use via the openrouter api, while the main trade-off to weigh is that availability and rate limits depend on the upstream provider. Keep both in mind when deciding whether it fits your workflow.
NVIDIA: Nemotron 3.5 Super VL is most often chosen for research and writing. If that matches your goals, it's a strong candidate to shortlist.
Key features
- ✓1,048,576-token context window
- ✓Vision (image input)
- ✓Reasoning / chain-of-thought
- ✓Tool / function calling
- ✓Structured (JSON) outputs
Pricing
Pros
- +Completely free to use via the OpenRouter API
- +Large 1,048,576-token context window, bigger than most models listed here
- +Built-in reasoning (chain-of-thought) mode for harder problems
- +Accepts images as input (vision-capable)
Cons
- −Availability and rate limits depend on the upstream provider
Who should use NVIDIA: Nemotron 3.5 Super VL
- →Anyone looking for a chatbots & llms tool from NVIDIA.
- →Teams and individuals focused on research and writing.
- →Users who want to try before they buy — there's a free tier.
- →People who value completely free to use via the openrouter api.
Who should look elsewhere
- →Those for whom availability and rate limits depend on the upstream provider is a dealbreaker.
Best for
10 Best NVIDIA: Nemotron 3.5 Super VL Alternatives in 2026
NVIDIA: Nemotron 3.5 Super VL is a strong chatbots & llms tool, but it is not the only option. Whether you are after a lower price, different features or a better fit for your workflow, here are the 10 best alternatives to NVIDIA: Nemotron 3.5 Super VL, ranked and compared.
Anthropic
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OpenAI
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Google DeepMind
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Moonshot AI
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MiniMax
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DeepSeek
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Meta
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Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and…
Meta
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Stepfun
Step 5 Preview is StepFun's flagship model for agentic work, built on a sparse Mixture-of-Experts architecture (27B…
NVIDIA: Nemotron 3.5 Super VL vs top alternatives
A side-by-side look at how NVIDIA: Nemotron 3.5 Super VL stacks up against its closest rivals.
| Feature | NVIDIA: Nemotron 3.5 Super VLNVIDIA | ClaudeAnthropic | ChatGPTOpenAI | GeminiGoogle DeepMind |
|---|---|---|---|---|
| Quality score | 9.2 / 10 | 9.6 / 10 | 9.5 / 10 | 9.2 / 10 |
| Starting price | $0.15/1M tokens | $20/mo | $20/mo | $20/mo |
| Free tier | Yes — Free variant available | Yes — Free tier available | Yes — Free tier available | Yes — Free tier available |
| API input price | $0.15 / 1M tokens | $0.1 / 1M tokens | $2 / 1M tokens | $2 / 1M tokens |
| API output price | $0.5 / 1M tokens | $0.5 / 1M tokens | $10 / 1M tokens | $10 / 1M tokens |
| Speed | — | Fast | Fast | Fast |
| Context window | 1,048,576 tokens | 200K tokens | 128K tokens | 1M-2M tokens |
| Categories | Chatbots & LLMs | Chatbots & LLMs, Coding, Writing | Chatbots & LLMs, Coding, Writing | Chatbots & LLMs, Coding, Writing |
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Frequently asked questions
Q. Is NVIDIA: Nemotron 3.5 Super VL free?
Yes — NVIDIA: Nemotron 3.5 Super VL offers a free tier. Paid plans start at $0.15/1M tokens.
Q. How much does NVIDIA: Nemotron 3.5 Super VL cost?
NVIDIA: Nemotron 3.5 Super VL starts at $0.15/1M tokens. API usage is around $0.15 per 1M input tokens and $0.5 per 1M output tokens.
Q. What is NVIDIA: Nemotron 3.5 Super VL best for?
NVIDIA: Nemotron 3.5 Super VL is best suited to research and writing, within the chatbots & llms category.
Q. What are the best NVIDIA: Nemotron 3.5 Super VL alternatives?
Popular alternatives to NVIDIA: Nemotron 3.5 Super VL include Claude, ChatGPT, Gemini and MoonshotAI: Kimi K3.1 Pro. Each trades off price, quality and ecosystem differently.
Q. Is there a free alternative to NVIDIA: Nemotron 3.5 Super VL?
Yes. Claude, ChatGPT, Gemini offer a free tier, making them good starting points if you want to avoid an upfront subscription.
Q. Why switch from NVIDIA: Nemotron 3.5 Super VL?
Common reasons include pricing, specific feature gaps (Availability and rate limits depend on the upstream provider), data-privacy requirements, or simply wanting a tool that fits your stack better.
How we rate AI tools
Our quality score weighs capability on real tasks, breadth of features and integrations, pricing and value, and how actively the tool is maintained. Scores are editorial guidance, not benchmarks — always trial a tool on your own workflow before committing. Pricing and features change frequently, so verify current details on the official site.
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