Inteligência em modelos de IA

Nemotron 3 Super (free)

openrouter/nemotron-3-super-120b-a12b-free

Por openrouter · família: nemotron · lançado 2026-03-11 · data de conhecimento: 2024-04

⚠ Este é um fine-tune da comunidade ou derivado — não um lançamento oficial do fornecedor.

Desconhecido
Entrada / 1M tokens
Desconhecido
Saída / 1M tokens
262K
Janela de contexto
262K
Saída máxima

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

Capacidades

Tool callingRaciocínio? Saída estruturadaAnexosPesos abertosControle de temperatura
Modalidades: entrada text · saída 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.

Coding59
  • Tool calling40/40
  • Structured output0/20
  • Reasoning10/10
  • Context window (100K → 1M)8/20
  • Provider availability1/10
Agents66
  • Tool calling35/35
  • Structured output0/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability1/10
JSON / structured output30
  • Structured output / JSON mode0/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume0/20
Cost efficiency0
  • Has published price0/100
Long context51
  • Context window (100K → 2M)51/90
  • 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.

Disponível em 1 provedores

ProvedorID do modelo do provedorEntrada / 1MSaída / 1MContextoLançado
OpenRouter
openrouter
nvidia/nemotron-3-super-120b-a12b:freeUnknownUnknown262K2026-03-11

Frequently asked questions

How much does Nemotron 3 Super (free) cost?

Nemotron 3 Super (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 Super (free)?

Nemotron 3 Super (free) has a context window of 262K tokens, with a max output of 262K tokens per reply. This is the total combined size of prompt + completion.

Does Nemotron 3 Super (free) support tool calling?

Yes. Nemotron 3 Super (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 Super (free) support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for Nemotron 3 Super (free) in our data source. Verify with openrouter's official documentation before relying on it in production.

Can Nemotron 3 Super (free) accept image input?

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

Is Nemotron 3 Super (free) open-weight?

Yes. Nemotron 3 Super (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 Super (free)?

If Nemotron 3 Super (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 atualização:

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.