Inteligencia de modelos de IA

Nemotron 3 Nano 30B A3B (free)

openrouter/nemotron-3-nano-30b-a3b-free

Por openrouter · familia: nemotron · lanzado 2025-12-14 · fecha de conocimiento: 2025-11

⚠ Este es un ajuste fino de la comunidad o un derivado — no un lanzamiento oficial del editor.

Desconocido
Entrada / 1M tokens
Desconocido
Salida / 1M tokens
256K
Ventana de contexto
256K
Salida máxima

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Capacidades

Llamada a herramientasRazonamientoSalida estructuradaAdjuntosPesos abiertosControl de temperatura
Modalidades: entrada text · salida text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding79
  • Tool calling40/40
  • Structured output20/20
  • Reasoning10/10
  • Context window (100K → 1M)8/20
  • Provider availability1/10
Agents91
  • Tool calling35/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability1/10
JSON / structured output80
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume0/20
Cost efficiency0
  • Has published price0/100
Long context50
  • Context window (100K → 2M)50/90
  • Has published price for full window0/10
Production-readiness30
  • Number of independent providers5/40
  • Has published per-token price0/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers10/10
  • Official model (not derivative)0/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

This model has no published per-token price, so we can't compute a cost estimate. See the provider's official pricing page for current rates.

Disponible en 1 proveedores

ProveedorID de modelo del proveedorEntrada / 1MSalida / 1MContextoLanzado
OpenRouter
openrouter
nvidia/nemotron-3-nano-30b-a3b:freeUnknownUnknown256K2025-12-14

Frequently asked questions

How much does Nemotron 3 Nano 30B A3B (free) cost?

Nemotron 3 Nano 30B A3B (free) does not have a publicly published per-token price in our data source. This usually means it is gated behind enterprise sales or invite access. Check openrouter's official pricing page for the most current rates.

What is the context window of Nemotron 3 Nano 30B A3B (free)?

Nemotron 3 Nano 30B A3B (free) has a context window of 256K tokens, with a max output of 256K tokens per reply. This is the total combined size of prompt + completion.

Does Nemotron 3 Nano 30B A3B (free) support tool calling?

Yes. Nemotron 3 Nano 30B A3B (free) supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does Nemotron 3 Nano 30B A3B (free) support structured output / JSON mode?

Yes. Nemotron 3 Nano 30B A3B (free) supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Can Nemotron 3 Nano 30B A3B (free) accept image input?

No. Nemotron 3 Nano 30B A3B (free) only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is Nemotron 3 Nano 30B A3B (free) open-weight?

Yes. Nemotron 3 Nano 30B A3B (free)'s weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.

What are the best alternatives to Nemotron 3 Nano 30B A3B (free)?

If Nemotron 3 Nano 30B A3B (free) doesn't fit, consider LFM2.5-1.2B-Instruct (free), LFM2.5-1.2B-Thinking (free), Owl Alpha. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

Última actualización:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.