---
title: "NVIDIA: Nemotron 3 Nano 30B A3B — unrated, priced in this catalogue · Undominated.ai"
canonical: https://undominated.ai/models/nvidia__nemotron-3-nano-30b-a3b/
description: "NVIDIA: Nemotron 3 Nano 30B A3B: $0.050/M in, $0.200/M out. No independent quality score in this catalogue — unrated, not ranked, not scored zero."
---

# NVIDIA: Nemotron 3 Nano 30B A3B — unrated, priced in this catalogue · Undominated.ai

> NVIDIA: Nemotron 3 Nano 30B A3B: $0.050/M in, $0.200/M out. No independent quality score in this catalogue — unrated, not ranked, not scored zero.

[Check base rates for this workload](/check/nvidia__nemotron-3-nano-30b-a3b/) [Cheaper alternatives](/alternatives/) [Family](/families/nemotron/) [Compare models](https://undominated.ai/compare/?models=nvidia%2Fnemotron-3-nano-30b-a3b) Comparison context

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MODEL PROOF

# Nemotron 3 Nano 30B A3B

NVIDIA · 14 Dec 2025

 Balanced Summarise Chat Code gen Agentic

NOT INDEPENDENTLY RATED

## No independent LMArena score is published for this model.

 **$0.088** / 1M tokens Balanced · 3 tokens in per 1 out

Serving precision differs between offers.

Evidence as of 06 Oct 2026

 [openrouter/models](https://openrouter.ai/api/v1/models) Independent LMArena score Not independently rated
 Context window 262.14K
 Maximum output 235.93K
 Input modalities text
 Output modalities text
 Published input price $0.050 / 1M tokens
 Published output price $0.200 / 1M tokens
 Pricing kind fixed

Inspect [complete billing conditions](#billing-details) and endpoint terms below.

Price from Crusoe: the cheapest offer that is serving, at standard delivery and at a declared precision that is not 4-bit (fp8), at its standard rate. The maker’s own precision is not known.

 Every price dimension · USD per million tokens

| Input | $0.050 /M |
| --- | --- |
| Output | $0.200 /M |
| Cached input | $0.030 /M |
| Cache write | Unknown /M |
| Cache write 1h | Unknown /M |
| Reasoning | Unknown /M |

### Who sells it

The same weights, different shops. Cheapest is not like-for-like when serving precision differs.

Headline cheapest is a lower precision. Like-for-like at the best declared precision is $0.050/M from Crusoe.

 4 provider offers · rates, limits and conditions

Rates are USD per million tokens. Endpoint terms can differ even when the quoted price and precision match. A listed parameter is a provider declaration, not a task-success test.

| Seller | Input | Output | Precision | Uptime (1d) |
| --- | --- | --- | --- | --- |
| Seller Crusoe crusoe/fp8 Endpoint terms Cached input /M $0.030 Context limit 262,144 tokens Output limit 235,929 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $0.050 | Output $0.200 | Precision fp8 | Uptime (1d) 99.98% |
| Seller Novita novita/fp4 Endpoint terms Cached input /M Unknown Context limit 262,144 tokens Output limit 32,768 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $0.050 | Output $0.200 | Precision fp4 | Uptime (1d) 99.56% |
| Seller DeepInfra deepinfra/fp4 Endpoint terms Cached input /M $0.025 Context limit 262,144 tokens Output limit 228,000 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes Unknown | Input $0.050 | Output $0.200 | Precision fp4 | Uptime (1d) 83.37% |
| Seller Nebius nebius/fp8 Endpoint terms Cached input /M Unknown Context limit 262,144 tokens Output limit 235,929 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $0.060 | Output $0.240 | Precision fp8 | Uptime (1d) 99.88% |

### Independent scores

No independent benchmark has measured this model. Unrated is not a score of zero.

### Capability

| Context window | 262K |
| --- | --- |
| Max output | 235K |
| Input modes | text |
| Tool use | yes |
| Reasoning | optional |
| Open weights | Unknown |

### Provenance

| Price source | [openrouter.ai](https://openrouter.ai/api/v1/models) |
| --- | --- |
| Fetched | 2026-10-06 |
| Quality data | unrated |

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...

## Questions this page answers

 What does Nemotron 3 Nano 30B A3B cost?

$0.050/M in, $0.200/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription.

 Does Nemotron 3 Nano 30B A3B have an independent quality score?

Nemotron 3 Nano 30B A3B has no independent quality score in this catalogue. Unrated is not a score of zero.

 What beats Nemotron 3 Nano 30B A3B?

Nemotron 3 Nano 30B A3B has no independent quality score. Unrated is not a score of zero.

 Does this page use Artificial Analysis scores for Nemotron 3 Nano 30B A3B?

No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated.

 Does a missing score mean Nemotron 3 Nano 30B A3B scored zero?

Unrated is not a score of zero.

 Is the cheapest Nemotron 3 Nano 30B A3B endpoint the same product?

Headline cheapest is a lower precision. Like-for-like at the best declared precision is $0.050/M from Crusoe.

MODEL MONUMENT

## Save or share this proof

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NVIDIA: Nemotron 3 Nano 30B A3B. Balanced workload. Not independently rated. Evidence as of 06 Oct 2026.

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## Related

No independent quality score, so there is no dominator to name. Unrated is not a clean bill of health.

 - Same vendor [Nemotron 3 Super](/models/nvidia__nemotron-3-super-120b-a12b/)
- NVIDIA models [NVIDIA](/providers/nvidia/)
- Where this model appears [spreads](/spreads/)
- Same vendor [Nemotron 3 Ultra](/models/nvidia__nemotron-3-ultra-550b-a55b/)
- Where this model appears [traps](/traps/)
- Same vendor [Nemotron 3.5 Content Safety](/models/nvidia__nemotron-3.5-content-safety/)

## Badge

The verdict as one SVG, for a README or a docs page. It states this model's dominance status at the balanced workload on the LMArena lens, with the date it was computed, and it is rebuilt with the catalogue — so it changes when the verdict changes, including to one you would rather it did not.

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