Nemotron 3 Nano 30B A3B
nvidia/nemotron-3-nano-30b-a3bNVIDIA 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.
Standard pricing
Run this model at its standard rate. Cheap mode currently has no separate discount.
API routing ceilings, including your 5% Free-plan fee. Included usage applies first, then prepaid credits. Cached tokens and tools can have separate charges.
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Choose how to use Nemotron 3 Nano 30B A3B
Playground
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Model capabilities below describe the underlying model. Available playground features depend on its provider.
API
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A current API route is listed for this exact model. Gateway configuration is required for live calls.
Provider price + a transparent platform fee
| Rate | Provider baseline | Free plan · 5% fee | Paid plan · 4% fee |
|---|---|---|---|
| Input / 1M tokens | $0.06 | $0.063 | $0.0624 |
| Output / 1M tokens | $0.24 | $0.252 | $0.2496 |
| API input / 1M tokens | $0.06 | $0.063 | $0.0624 |
| API output / 1M tokens | $0.24 | $0.252 | $0.2496 |
Legacy chat image rates use the catalog baseline. The dedicated image playground shows separate estimates and settles the provider’s metered usage. API rates are current routing ceilings; final API charges use provider-reported cost plus your fee. Cheapest routing compares eligible OpenRouter and Cheaper Inference rates for the same model; savings are not guaranteed. Cached input or other provider charges may differ. Compare all model rates and verified discounts →
How your plan pays for usage
API and playground share one included allowance. Usage including the fee draws from that allowance first, then your prepaid credits. Plans bill monthly; included usage resets weekly: Free $1, Starter $5, Growth $25, Scale $50.
A $1 provider charge becomes $1.05 on Free or $1.04 on a paid plan before included usage is applied. Plan eligibility still applies in the playground.
Free models and limits
Zero-cost models stay $0, including the fee, and do not consume your dollar allowance. Free accounts can make 1,000 free-model API requests per calendar month, resetting in UTC. Admitted requests count even if the provider fails.
Free includes 20 API requests/minute and 6 playground messages/minute. Paid plans raise these limits. See plan limits.
Before a text API request, Gizmo temporarily reserves included usage and, if necessary, prepaid credit for the model’s full context plus your maximum output. Image jobs reserve twice their displayed estimate. Unused funds return after metering. This hold can exceed the final charge; unconfirmed usage remains marked pending.
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 open with open-weights, datasets and recipes so developers can easily customize, optimize, and deploy the model on their infrastructure for maximum privacy and security.
Benchmarks
Artificial Analysis indices independent, 0–100
Reasoning Benchmark Evaluations from the model card
| Task | NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 | Qwen3-30B-A3B-Thinking-2507 | GPT-OSS-20B |
|---|---|---|---|
| General Knowledge | |||
| MMLU-Pro | 78.3 | 80.9 | 75.0 |
| Reasoning | |||
| AIME25 (no tools) | 89.1 | 85.0 | 91.7 |
| AIME25 (with tools) | 99.2 | \- | 98.7 |
| GPQA (no tools) | 73.0 | 73.4 | 71.5 |
| GPQA (with tools) | 75.0 | \- | 74.2 |
| LiveCodeBench (v6 2025-08–2025-05) | 68.3 | 66.0 | 61.0 |
| SciCode (subtask) | 33.3 | 33.0 | 34.0 |
| HLE (no tools) | 10.6 | 9.8 | 10.9 |
| HLE (with tools) | 15.5 | \- | 17.3 |
| MiniF2F pass@1 | 50.0 | 5.7 | 12.1 |
| MiniF2F pass@32 | 79.9 | 16.8 | 43.0 |
| Agentic | |||
| Terminal Bench (hard subset) | 8.5 | 5.0 | 6.0 |
| SWE-Bench (OpenHands) | 38.8 | 22.0 | 34.0 |
| TauBench V2 (Airline) | 48.0 | 58.0 | 38.0 |
| TauBench V2 (Retail) | 56.9 | 58.8 | 38.0 |
| TauBench V2 (Telecom) | 42.2 | 26.3 | 49.7 |
| TauBench V2 (Average) | 49.0 | 47.7 | 48.7 |
| BFCL v4 | 53.8 | 46.4\* | \- |
| Chat & Instruction Following | |||
| IFBench (prompt) | 71.5 | 51.0 | 65.0 |
| Scale AI Multi Challenge | 38.5 | 44.8 | 33.8 |
Training, Testing, and Evaluation Datasets from the model card
| Dataset | Collection Period |
|---|---|
| GSM8K | 4/23/2025 |
| CC-NEWS | 4/23/2025 |
| Common Crawl | 4/23/2025 |
| Wikimedia | 4/23/2025 |
| Bespoke-Stratos-17k | 4/23/2025 |
| tigerbot-kaggle-leetcodesolutions-en-2k | 4/23/2025 |
| glaive-function-calling-v2 | 4/23/2025 |
| APIGen Function-Calling | 4/23/2025 |
| LMSYS-Chat-1M | 4/23/2025 |
| Open Textbook Library \- CC BY-SA & GNU subset and OpenStax \- CC BY-SA subset | 4/23/2025 |
| Advanced Reasoning Benchmark, tigerbot-kaggle-leetcodesolutions-en-2k, PRM800K, and SciBench | 4/23/2025 |
| FineWeb-2 | 4/23/2025 |
| Court Listener | Legacy Download |
| peS2o | Legacy Download |
| OpenWebMath | Legacy Download |
| BioRxiv | Legacy Download |
| PMC Open Access Subset | Legacy Download |
| OpenWebText2 | Legacy Download |
| Stack Exchange Data Dump | Legacy Download |
| PubMed Abstracts | Legacy Download |
| NIH ExPorter | Legacy Download |
| arXiv | Legacy Download |
| BigScience Workshop Datasets | Legacy Download |
| Reddit Dataset | Legacy Download |
Private Non-publicly Accessible Datasets of Third Parties from the model card
| Dataset |
|---|
| Global Regulation |
| TAUS Translation Memory |
| Scale HLE |
| HackerRank Coding |
NVIDIA-Sourced Synthetic Datasets from the model card
| Dataset | Modality | Dataset Size | Seed Dataset | Model(s) used for generation |
|---|---|---|---|---|
| Synthetic Art of Problem Solving from DeepSeek-R1 | Text | 40B | Art of Problem Solving; American Mathematics Competitions 8; American Mathematics Competitions 10; | DeepSeek-R1 |
| Synthetic Moral Stories and Social Chemistry from Mixtral-8x22B-v0.1 | Text | 327M | social-chemestry-101; Moral Stories | Mixtral-8x22B-v0.1 |
| Synthetic Social Sciences seeded with OpenStax from DeepSeek-V3, Mixtral-8x22B-v0.1, and Qwen2.5-72B | Text | 83.6M | OpenStax \- CC BY-SA subset | DeepSeek-V3; Mixtral-8x22B-v0.1; Qwen2.5-72B |
| Synthetic Health Sciences seeded with OpenStax from DeepSeek-V3, Mixtral-8x22B-v0.1, and Qwen2.5-72B | Text | 9.7M | OpenStax \- CC BY-SA subset | DeepSeek-V3; Mixtral-8x22B-v0.1; Qwen2.5-72B |
| Synthetic STEM seeded with OpenStax, Open Textbook Library, and GSM8K from DeepSeek-R1, DeepSeek-V3, DeepSeek-V3-0324, and Qwen2.5-72B | Text | 175M | OpenStax \- CC BY-SA subset; GSM8K; Open Textbook Library \- CC BY-SA & GNU subset | DeepSeek-R1, DeepSeek-V3; DeepSeek-V3-0324; Qwen2.5-72B |
| Nemotron-PrismMath | Text | 4.6B | Big-Math-RL-Verified; OpenR1-Math-220k | Qwen2.5-0.5B-instruct, Qwen2.5-72B-Instruct; DeepSeek-R1-Distill-Qwen-32B |
| Synthetic Question Answering Data from Papers and Permissible Books from Qwen2.5-72B-Instruct | Text | 350M | arXiv; National Institutes of Health ExPorter; BioRxiv; PMC Article; USPTO Backgrounds; peS2o; Global Regulation; CORE; PG-19; DOAB CC BY & CC BY-SA subset; NDLTD | Qwen2.5-72B-Instruct |
| Refreshed Nemotron-MIND from phi-4 | Text | 73B | Common Crawl | phi-4 |
| Nemotron-CC-Math-4plus | Text | 52.3B | Common Crawl | phi-4 |
| Nemotron-CC-Math-3 | Text | 80.9B | Common Crawl | phi-4 |
| Synthetic AGIEval seeded with AQUA-RAT, LogiQA, and AR-LSAT from DeepSeek-V3 and DeepSeek-V3-0324 | Text | 4.0B | AQUA-RAT; LogiQA; AR-LSAT | DeepSeek-V3; DeepSeek-V3-0324 |
| Synthetic AGIEval seeded with AQUA-RAT, LogiQA, and AR-LSAT from Qwen3-30B-A3B | Text | 4.2B | AQUA-RAT; LogiQA; AR-LSAT | Qwen3-30B-A3B |
| Synthetic Art of Problem Solving from Qwen2.5-32B-Instruct, Qwen2.5-Math-72B, Qwen2.5-Math-7B, and Qwen2.5-72B-Instruct | Text | Art of Problem Solving; American Mathematics Competitions 8; American Mathematics Competitions 10; GSM8K; PRM800K | Qwen2.5-32B-Instruct; Qwen2.5-Math-72B; Qwen2.5-Math-7B; Qwen2.5-72B-Instruct | |
| Synthetic MMLU Auxiliary Train from DeepSeek-R1 | Text | 0.5B | MMLU Auxiliary Train | DeepSeek-R1 |
| Synthetic Long Context Continued Post-Training Data from Papers and Permissible Books from Qwen2.5-72B-Instruct | Text | arXiv; National Institutes of Health ExPorter; BioRxiv; PMC Article; USPTO Backgrounds; peS2o; Global Regulation; CORE; PG-19; DOAB CC BY & CC BY-SA subset; NDLTD | Qwen2.5-72B-Instruct | |
| Synthetic Common Crawl from Qwen3-30B-A3B and Mistral-Nemo-12B-Instruct | Text | 415.8B | Common Crawl | Qwen3-30B-A3B; Mistral-NeMo-12B-Instruct |
| Synthetic Multilingual Data from Common Crawl from Qwen3-30B-A3B | Text | Common Crawl | Qwen3-30B-A3B | |
| Synthetic Multilingual Data from Wikimedia from Qwen3-30B-A3B | Text | Wikimedia | Qwen3-30B-A3B | |
| Synthetic Math Data from Wikimedia from Nemotron-4-340B-Instruct | Text | \- | Nemotron-4-340B-Instruct | |
| Synthetic Common Crawl Code from phi-4 | Text | 427.9B | Common Crawl | phi-4 |
| Synthetic Scientific Coding from Qwen3-235B-A22B | Text | 1.2B | Wikimedia | Qwen3-235B-A22B |
| Tool Calling Data | Text | 26.2B | Qwen3-235B-A22B-2507; gpt-oss-120b | |
| Synthetic Essential-Web from QwQ-32B | Text | 28.1B | Essential-Web | QwQ-32B |
| Translated Synthetic Crawl | Text | 389.9B | Common Crawl | Qwen3-30B-A3B |
Capabilities
Reasoning is available.
Sampling controls: temperature, top_p, top_k, min_p, max_tokens, frequency_penalty, presence_penalty, repetition_penalty. Defaults: top_p null, temperature null, frequency_penalty null.
Pricing on Gizmo
These are provider baseline rates before Gizmo’s 5% Free-plan or 4% paid-plan fee. Your included usage covers charges first; overage uses prepaid credits. See the fee-inclusive comparison above.
Provider baseline rates
- Input
- $0.06 / 1M
- Cached input
- $0.03 / 1M
- Output
- $0.24 / 1M
Examples before the platform fee
- Typical chat turn
- $0.00024 2k in · 500 out
- $1 of input
- ≈ 16.67M tokens
- $1 of output
- ≈ 4.17M tokens
- Full context, once
- $0.0157
Providers and pricing
One way to run Nemotron 3 Nano 30B A3B on Gizmo.
| Provider | Route | Input / 1M | Output / 1M | Context | Uptime 24h |
|---|---|---|---|---|---|
| Nebius · fp8Lowest price | OpenRouter | $0.06 | $0.24 | 262k | 100% |
Rates are each provider’s, per million tokens, before Gizmo’s 5% (Free) or 4% (paid) fee. “Cheapest” routing starts at the top of this list; “Fastest” starts with the model’s maker.
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