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NVIDIA: Nemotron 3 Nano 30B A3B

by NVIDIA

7.8
Quality score / 10

Overview

NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully...

Our take

For developers building specialised agentic AI systems, NVIDIA's Nemotron 3 Nano 30B A3B offers a distinct proposition. Unlike general-purpose chatbots such as Claude or ChatGPT, this model is engineered with a focus on compute efficiency and accuracy for agentic workflows. Its 262,144-token context window, coupled with built-in reasoning and tool/function calling capabilities, facilitates complex, multi-step operations. The ability to generate structured JSON outputs further streamlines integration into automated processes. At $0.05 per 1M input tokens, it presents a more cost-effective option than approximately 75% of comparable models, though the absence of a free tier means all usage incurs a charge. This model is ideal for developers requiring a high-throughput, cost-sensitive solution for agent-style AI applications that do not require image input.

How NVIDIA: Nemotron 3 Nano 30B A3B stacks up

Among the 372 chatbots & llms tools in our directory, it ranks #194 of 367 on quality (7.8/10), 3% below the 367-tool average of 8.0, and its $0.06/1M input-token rate is in the budget end — 97% cheaper than the 355-model average of $1.94/1M.

Weighing quality against cost, NVIDIA: Nemotron 3 Nano 30B A3B's cost-per-quality-point of $0.01 places it in the top 9% for value among chatbots & llms tools.

NVIDIA: Nemotron 3 Nano 30B A3B in depth

NVIDIA: Nemotron 3 Nano 30B A3B, built by NVIDIA, sits in the chatbots & llms space and is a paid tool starting at $0.06/1M tokens. Our editors rate it 7.8 out of 10 based on capability, ecosystem and value. It handles a context window of 262,144 tokens.

On the feature side, NVIDIA: Nemotron 3 Nano 30B A3B brings 262,144-token context window, reasoning / chain-of-thought, tool / function calling and structured (json) outputs. These are the capabilities that most shape day-to-day use and separate it from thinner alternatives.

Its biggest strength is low api price — $0.06 per 1m input tokens, cheaper than roughly 75% of comparable models, while the main trade-off to weigh is that no free tier — usage is billed per token. Keep both in mind when deciding whether it fits your workflow.

NVIDIA: Nemotron 3 Nano 30B A3B is most often chosen for research and writing. If that matches your goals, it's a strong candidate to shortlist.

Speed
—
Context window
262,144 tokens
Free tier
No
Updated
2026-10-11

Key features

  • ✓262,144-token context window
  • ✓Reasoning / chain-of-thought
  • ✓Tool / function calling
  • ✓Structured (JSON) outputs

Pricing

$0.06/1M tokens
Pay per token
Paid$0.06/1M tokens
API input
$0.06 / 1M tokens
API output
$0.24 / 1M tokens
See full API pricing → llmprice.app

Pros

  • +Low API price — $0.06 per 1M input tokens, cheaper than roughly 75% of comparable models
  • +Built-in reasoning (chain-of-thought) mode for harder problems
  • +Supports tool / function calling for agent-style workflows
  • +Can return structured JSON output for reliable parsing

Cons

  • −No free tier — usage is billed per token
  • −Text-only: does not accept image input

Who should use NVIDIA: Nemotron 3 Nano 30B A3B

  • →Anyone looking for a chatbots & llms tool from NVIDIA.
  • →Teams and individuals focused on research and writing.
  • →People who value low api price — $0.06 per 1m input tokens, cheaper than roughly 75% of comparable models.
  • →Workflows that need a 262,144 tokens context window.

Who should look elsewhere

  • →Anyone who needs a free tier — this tool is paid only.
  • →Those for whom no free tier — usage is billed per token is a dealbreaker.
  • →Users who can't accept that text-only: does not accept image input.

Best for

10 Best NVIDIA: Nemotron 3 Nano 30B A3B Alternatives in 2026

NVIDIA: Nemotron 3 Nano 30B A3B 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 Nano 30B A3B, ranked and compared.

1
ClaudeFree tier$20/mo

Anthropic

Claude is Anthropic's family of AI assistants, known for long-context reasoning, careful writing and strong coding…

+ Best-in-class long-document reasoning+ Natural, high-quality writing+ Strong safety and reliability
Read full Claude review →
2
ChatGPTFree tier$20/mo

OpenAI

ChatGPT is OpenAI's flagship conversational AI, powering hundreds of millions of weekly users across web, mobile and…

+ Most polished and widely supported ecosystem+ Excellent general reasoning and coding+ Huge third-party integration support
Read full ChatGPT review →
3
GeminiFree tier$20/mo

Google DeepMind

Gemini is Google's natively multimodal model family, deeply integrated across Search, Workspace, Android and the Pixel…

+ Massive context window+ Tight integration with Google ecosystem+ Generous free access
Read full Gemini review →
4
StepFun: Step 5 PreviewPaid$1.00/1M tokens

Stepfun

Step 5 Preview is StepFun's flagship model for agentic work, built on a sparse Mixture-of-Experts architecture (27B…

+ Large 1,000,000-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)
Read full StepFun: Step 5 Preview review →
5
Anthropic: Claude Haiku 5.5Paid$0.10/1M tokens

Anthropic

Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization…

+ Low API price — $0.1 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full Anthropic: Claude Haiku 5.5 review →
6
Mistral: Mistral Large 4Paid$0.68/1M tokens

Mistral AI

Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and…

+ 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)
Read full Mistral: Mistral Large 4 review →
7
OpenAI: GPT-6.1 Sol ProPaid$2.00/1M tokens

OpenAI

GPT-6.1 Sol Pro is the same underlying model as [GPT-6.1 Sol](https://openrouter.ai/openai/gpt-6.1-sol), served with…

+ Large 1,050,000-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)
Read full OpenAI: GPT-6.1 Sol Pro review →
8
OpenAI: GPT-6.1 SolPaid$2.00/1M tokens

OpenAI

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series.

+ Large 1,050,000-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)
Read full OpenAI: GPT-6.1 Sol review →
9
Anthropic: Claude Sonnet 5.5Paid$2.00/1M tokens

Anthropic

Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a…

+ Large 1,000,000-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)
Read full Anthropic: Claude Sonnet 5.5 review →
10
Fireworks: Ember-1Paid$3.00/1M tokens

Fireworks

Ember-1 is a specialized reasoning model from Fireworks Research, built on [Kimi…

+ 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)
Read full Fireworks: Ember-1 review →

NVIDIA: Nemotron 3 Nano 30B A3B vs top alternatives

A side-by-side look at how NVIDIA: Nemotron 3 Nano 30B A3B stacks up against its closest rivals.

FeatureNVIDIA: Nemotron 3 Nano 30B A3BNVIDIAClaudeAnthropicChatGPTOpenAIGeminiGoogle DeepMind
Quality score7.8 / 109.6 / 109.5 / 109.2 / 10
Starting price$0.06/1M tokens$20/mo$20/mo$20/mo
Free tierNoYes — Free tier availableYes — Free tier availableYes — Free tier available
API input price$0.06 / 1M tokens$0.1 / 1M tokens$2 / 1M tokens$0.75 / 1M tokens
API output price$0.24 / 1M tokens$0.5 / 1M tokens$10 / 1M tokens$3.75 / 1M tokens
Speed—FastFastFast
Context window262,144 tokens200K tokens128K tokens1M-2M tokens
CategoriesChatbots & LLMsChatbots & LLMs, Coding, WritingChatbots & LLMs, Coding, WritingChatbots & LLMs, Coding, Writing
Key features
  • 262,144-token context window
  • Reasoning / chain-of-thought
  • Tool / function calling
  • Structured (JSON) outputs
  • Industry-leading long context (200K+ tokens)
  • Artifacts for live previews
  • Strong agentic coding (Claude Code)
  • Vision and document analysis
  • Multimodal text, image and voice input
  • Advanced data analysis (code interpreter)
  • Custom GPTs and GPT Store
  • Web browsing and real-time search
  • Up to 2M token context window
  • Deep Google Workspace integration
  • Native video and audio understanding
  • Real-time Google Search grounding
Pros
  • + Low API price — $0.06 per 1M input tokens, cheaper than roughly 75% of comparable models
  • + Built-in reasoning (chain-of-thought) mode for harder problems
  • + Supports tool / function calling for agent-style workflows
  • + Can return structured JSON output for reliable parsing
  • + Best-in-class long-document reasoning
  • + Natural, high-quality writing
  • + Strong safety and reliability
  • + Most polished and widely supported ecosystem
  • + Excellent general reasoning and coding
  • + Huge third-party integration support
  • + Massive context window
  • + Tight integration with Google ecosystem
  • + Generous free access
Cons
  • − No free tier — usage is billed per token
  • − Text-only: does not accept image input
  • − No native image generation
  • − Fewer consumer integrations than ChatGPT
  • − Usage caps on the most capable models
  • − Can be verbose and overly cautious
  • − Quality can be inconsistent on edge cases
  • − Privacy concerns for some users

Frequently asked questions

Q. Is NVIDIA: Nemotron 3 Nano 30B A3B free?

No — NVIDIA: Nemotron 3 Nano 30B A3B is a paid tool, starting at $0.06/1M tokens.

Q. How much does NVIDIA: Nemotron 3 Nano 30B A3B cost?

NVIDIA: Nemotron 3 Nano 30B A3B starts at $0.06/1M tokens. API usage is around $0.06 per 1M input tokens and $0.24 per 1M output tokens.

Q. What is NVIDIA: Nemotron 3 Nano 30B A3B best for?

NVIDIA: Nemotron 3 Nano 30B A3B is best suited to research and writing, within the chatbots & llms category.

Q. What are the best NVIDIA: Nemotron 3 Nano 30B A3B alternatives?

Popular alternatives to NVIDIA: Nemotron 3 Nano 30B A3B include Claude, ChatGPT, Gemini and StepFun: Step 5 Preview. Each trades off price, quality and ecosystem differently.

Q. Is there a free alternative to NVIDIA: Nemotron 3 Nano 30B A3B?

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 Nano 30B A3B?

Common reasons include pricing, specific feature gaps (No free tier — usage is billed per token; Text-only: does not accept image input), 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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