AI 模型情报

NVIDIA Nemotron Nano 12B v2 VL BF16

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

出品方： amazon-bedrock · 系列: nemotron · 发布 2024-12-01

⚠ 本模型为社区微调 / 衍生版本，非厂商官方发布。

$0.200
输入 / 1M token
$0.600
输出 / 1M token
128K
上下文长度
4K
最大输出

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

能力清单

✓ 工具调用✗ 推理✓ 结构化输出✗ 附件✗ 开放权重✓ 温度可调
支持模态: 输入 text, image · 输出 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.

定价详情

推荐定价来自 amazon-bedrock · nvidia.nemotron-nano-12b-v2

$0.200
输入
$0.600
输出

在 1 家渠道可用

服务商服务商模型 ID输入 / 1M输出 / 1M上下文发布日期
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.

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See also

最近更新：

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.