Nvidia Nemotron Nano 12B V2 VL
vercel/nemotron-nano-12b-v2-vlمن vercel · العائلة: nemotron · أُصدِر 2024-12 · تاريخ المعرفة: 2024-10
⚠ هذا نموذج مُحسَّن من المجتمع أو مشتق — وليس إصدارًا رسميًا من المزود.
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
القدرات
Model fit scores
0–100 · higher is betterThese 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.
Coding53
- Tool calling40/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)2/20
- Provider availability1/10
Agents66
- Tool calling35/35
- Structured output0/25
- Reasoning15/15
- Output token limit15/15
- Provider availability1/10
JSON / structured output48
- Structured output / JSON mode0/50
- 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 context46
- Context window (100K → 2M)36/90
- 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.
| Scenario | Cost | Assumption |
|---|---|---|
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. |
تفاصيل التسعير
السعر المُوصى به من vercel · nvidia/nemotron-nano-12b-v2-vl
متاح لدى 1 مزود
| المزود | معرف نموذج المزود | إدخال / 1M | إخراج / 1M | السياق | تاريخ الإصدار |
|---|---|---|---|---|---|
| Vercel AI Gateway vercel | nvidia/nemotron-nano-12b-v2-vl | $0.200 | $0.600 | 131K | 2024-12 |
Frequently asked questions
How much does Nvidia Nemotron Nano 12B V2 VL cost?
Nvidia Nemotron Nano 12B V2 VL costs $0.200 per 1M input tokens and $0.600 per 1M output tokens, sourced from vercel. 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?
Nvidia Nemotron Nano 12B V2 VL has a context window of 131K tokens, with a max output of 131K tokens per reply. This is the total combined size of prompt + completion.
Does Nvidia Nemotron Nano 12B V2 VL support tool calling?
Yes. Nvidia Nemotron Nano 12B V2 VL 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 support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for Nvidia Nemotron Nano 12B V2 VL in our data source. Verify with vercel's official documentation before relying on it in production.
Can Nvidia Nemotron Nano 12B V2 VL accept image input?
Yes. Nvidia Nemotron Nano 12B V2 VL accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check vercel's docs for the exact rule.
Is Nvidia Nemotron Nano 12B V2 VL open-weight?
No. Nvidia Nemotron Nano 12B V2 VL is a proprietary model — only vercel (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?
If Nvidia Nemotron Nano 12B V2 VL doesn't fit, consider Trinity Mini, Trinity Large Thinking, Trinity Large Preview. 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
More vercel models
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- Trinity Large Thinking$0.25 in / $0.90 out
- Trinity Large Preview$0.25 in / $1.00 out
- INTELLECT 3$0.20 in / $1.10 out
- Titan Text Embeddings V2$0.02 in / $0.00 out
Capability lists this model is in
آخر تحديث:
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.