Интерфейс моделей ИИ

NVIDIA Nemotron Nano 12B v2 VL BF16

amazon-bedrock/nemotron-nano-12b-v2

От amazon-bedrock · семейство: nemotron · выпуск 2024-12-01

⚠ Это сообществом дообученная / производная модель — не официальный релиз вендора.

$0.200
Вход / 1M токенов
$0.600
Выход / 1M токенов
128K
Окно контекста
4K
Макс. вывод

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

Возможности

✓ Tool calling✗ Рассуждение✓ Структурированный вывод✗ Вложения✗ Открытые веса✓ Управление температурой
Модальности: вход text, image · выход 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.

Coding63
  • Tool calling40/40
  • Structured output20/20
  • Reasoning0/10
  • Context window (100K → 1M)2/20
  • Provider availability1/10
Agents61
  • Tool calling35/35
  • Structured output25/25
  • Reasoning0/15
  • Output token limit0/15
  • Provider availability1/10
JSON / structured output98
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume18/20
Cost efficiency65
  • Headline price (log-scaled)65/95
  • Has prompt-cache pricing0/5
Long context45
  • Context window (100K → 2M)35/90
  • Has published price for full window10/10
Vision78
  • Accepts image input50/50
  • Context window (10K → 1M)17/30
  • Has published price10/10
  • Provider availability1/10
Production-readiness50
  • Number of independent providers5/40
  • Has published per-token price20/20
  • 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.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$1.30
< $0.01 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$2.60
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$0.70
< $0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$2.20
< $0.01 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$2.76
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Детализация цен

Рекомендованная цена от amazon-bedrock · nvidia.nemotron-nano-12b-v2

$0.200
Вход
$0.600
Выход

Доступна у 1 провайдеров

ПровайдерID модели провайдераВход / 1MВыход / 1MКонтекстВыпуск
Amazon Bedrock
amazon-bedrock
nvidia.nemotron-nano-12b-v2$0.200$0.600128K2024-12-01

Frequently asked questions

How much does NVIDIA Nemotron Nano 12B v2 VL BF16 cost?

NVIDIA Nemotron Nano 12B v2 VL BF16 costs $0.200 per 1M input tokens and $0.600 per 1M output tokens, sourced from amazon-bedrock. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of NVIDIA Nemotron Nano 12B v2 VL BF16?

NVIDIA Nemotron Nano 12B v2 VL BF16 has a context window of 128K tokens, with a max output of 4K tokens per reply. This is the total combined size of prompt + completion.

Does NVIDIA Nemotron Nano 12B v2 VL BF16 support tool calling?

Yes. NVIDIA Nemotron Nano 12B v2 VL BF16 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 NVIDIA Nemotron Nano 12B v2 VL BF16 support structured output / JSON mode?

Yes. NVIDIA Nemotron Nano 12B v2 VL BF16 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 NVIDIA Nemotron Nano 12B v2 VL BF16 accept image input?

Yes. NVIDIA Nemotron Nano 12B v2 VL BF16 accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check amazon-bedrock's docs for the exact rule.

Is NVIDIA Nemotron Nano 12B v2 VL BF16 open-weight?

No. NVIDIA Nemotron Nano 12B v2 VL BF16 is a proprietary model — only amazon-bedrock (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to NVIDIA Nemotron Nano 12B v2 VL BF16?

If NVIDIA Nemotron Nano 12B v2 VL BF16 doesn't fit, consider Palmyra X5, Nova Pro, Nova Micro. 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.

Explore more

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See also

Последнее обновление:

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.