DeepSeek V3.1 Nex N1
deepseek/v3-1-nex-n1Por DeepSeek · família: deepseek · lançado 2025-01-01
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.
Coding5
- Tool calling0/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)2/20
- Provider availability3/10
Agents8
- Tool calling0/35
- Structured output0/25
- Reasoning0/15
- Output token limit5/15
- Provider availability3/10
JSON / structured output19
- Structured output / JSON mode0/50
- Tool calling0/20
- Temperature control0/10
- Price-friendly for high-volume19/20
Cost efficiency66
- Headline price (log-scaled)66/95
- Has prompt-cache pricing0/5
Long context45
- Context window (100K → 2M)35/90
- Has published price for full window10/10
Production-readiness71
- Number of independent providers15/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers6/10
- Official model (not derivative)15/15
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 | $1.61 < $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 | $3.22 < $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 | $0.77 < $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 | $2.66 < $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 | $3.61 < $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 nano-gpt · nex-agi/deepseek-v3.1-nex-n1
Disponível em 3 provedores
| Provedor | ID do modelo do provedor | Entrada / 1M | Saída / 1M | Contexto | Lançado |
|---|---|---|---|---|---|
| NanoGPT nano-gpt | nex-agi/deepseek-v3.1-nex-n1 | $0.280 | $0.420 | 128K | 2025-12-10 |
| Kilo Gateway kilo | nex-agi/deepseek-v3.1-nex-n1 | $0.270 | $1.00 | 131K | 2025-01-01 |
| SiliconFlow siliconflow | nex-agi/DeepSeek-V3.1-Nex-N1 | $0.500 | $2.00 | 131K | 2025-01-01 |
Inconsistências de dados entre provedores
- context_window varies: 128000, 131000, 131072
- release_date varies (span 343d): 2025-01-01, 2025-12-10
Os provedores reportam valores diferentes para este modelo. Os dados rápidos acima usam um provedor representativo; consulte a tabela para detalhes por provedor.
Frequently asked questions
How much does DeepSeek V3.1 Nex N1 cost?
DeepSeek V3.1 Nex N1 costs $0.280 per 1M input tokens and $0.420 per 1M output tokens, sourced from nano-gpt. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of DeepSeek V3.1 Nex N1?
DeepSeek V3.1 Nex N1 has a context window of 128K tokens, with a max output of 8K tokens per reply. This is the total combined size of prompt + completion.
Does DeepSeek V3.1 Nex N1 support tool calling?
No. DeepSeek V3.1 Nex N1 does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.
Does DeepSeek V3.1 Nex N1 support structured output / JSON mode?
No. DeepSeek V3.1 Nex N1 does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.
Can DeepSeek V3.1 Nex N1 accept image input?
No. DeepSeek V3.1 Nex N1 only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is DeepSeek V3.1 Nex N1 open-weight?
No. DeepSeek V3.1 Nex N1 is a proprietary model — only DeepSeek (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to DeepSeek V3.1 Nex N1?
If DeepSeek V3.1 Nex N1 doesn't fit, consider DeepSeek-V3.2, DeepSeek V4 Pro, DeepSeek-R1-0528. 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 DeepSeek models
- DeepSeek-V3.2$0.26 in / $0.38 out
- DeepSeek V4 Pro$1.74 in / $3.48 out
- DeepSeek-R1-0528$0.40 in / $1.70 out
- DeepSeek-R1$0.40 in / $1.70 out
- DeepSeek-V3.1$0.20 in / $0.70 out
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.