Nemotron-nano 12b v2-vl
digitalocean/nemotron-nano-12b-v2-vlPor digitalocean · família: nemotron · lançado 2025-10-28
⚠ Este é um fine-tune da comunidade ou derivado — não um lançamento oficial do fornecedor.
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Capacidades
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
Agents61
- Tool calling35/35
- Structured output0/25
- Reasoning15/15
- Output token limit10/15
- Provider availability1/10
JSON / structured output48
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume18/20
Cost efficiency70
- Headline price (log-scaled)65/95
- Has prompt-cache pricing5/5
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.
| 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. |
Detalhes de preço
Preço recomendado de digitalocean · nemotron-nano-12b-v2-vl
Disponível em 1 provedores
| Provedor | ID do modelo do provedor | Entrada / 1M | Saída / 1M | Contexto | Lançado |
|---|---|---|---|---|---|
| DigitalOcean digitalocean | nemotron-nano-12b-v2-vl | $0.200 | $0.600 | 128K | 2025-10-28 |
Frequently asked questions
How much does Nemotron-nano 12b v2-vl cost?
Nemotron-nano 12b v2-vl costs $0.200 per 1M input tokens and $0.600 per 1M output tokens, sourced from digitalocean. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Nemotron-nano 12b v2-vl?
Nemotron-nano 12b v2-vl has a context window of 128K tokens, with a max output of 16K tokens per reply. This is the total combined size of prompt + completion.
Does Nemotron-nano 12b v2-vl support tool calling?
Yes. 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 Nemotron-nano 12b v2-vl support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for Nemotron-nano 12b v2-vl in our data source. Verify with digitalocean's official documentation before relying on it in production.
Can Nemotron-nano 12b v2-vl accept image input?
Yes. 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 digitalocean's docs for the exact rule.
Is Nemotron-nano 12b v2-vl open-weight?
Yes. Nemotron-nano 12b v2-vl'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-nano 12b v2-vl?
If Nemotron-nano 12b v2-vl doesn't fit, consider GTE Large (v1.5), Multi-QA-mpnet-base-dot-v1, Beam. 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 are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More digitalocean models
- GTE Large (v1.5)$0.09 in / $0.00 out
- Multi-QA-mpnet-base-dot-v1$0.01 in / $0.00 out
- Beam$0.40 in / $1.20 out
- All-MiniLM-L6-v2$0.01 in / $0.00 out
- E5 Large v2$0.02 in / $0.00 out
Capability lists this model is in
Última atualização:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.