AIモデルインテリジェンス

DeepSeek V3.1 Nex N1

deepseek/v3-1-nex-n1

提供: DeepSeek · ファミリー: deepseek · リリース 2025-01-01

$0.280
入力 / 100万トークン
$0.420
出力 / 100万トークン
128K
コンテキスト長
8K
最大出力

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

機能一覧

ツール呼び出し推論構造化出力添付オープンウェイト? 温度制御
モダリティ: 入力 text · 出力 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.

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.

ScenarioCostAssumption
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.

料金詳細

推奨料金 (提供元): nano-gpt · nex-agi/deepseek-v3.1-nex-n1

$0.280
入力
$0.420
出力

3 か所で利用可能

プロバイダープロバイダーモデルID入力 / 1M出力 / 1Mコンテキストリリース日
NanoGPT
nano-gpt
nex-agi/deepseek-v3.1-nex-n1$0.280$0.420128K2025-12-10
Kilo Gateway
kilo
nex-agi/deepseek-v3.1-nex-n1$0.270$1.00131K2025-01-01
SiliconFlow
siliconflow
nex-agi/DeepSeek-V3.1-Nex-N1$0.500$2.00131K2025-01-01

プロバイダー間でデータに差異

  • context_window varies: 128000, 131000, 131072
  • release_date varies (span 343d): 2025-01-01, 2025-12-10

プロバイダーごとに本モデルの値が異なります。上部の「主要数値」は代表的プロバイダーを使用しています。詳細は表をご確認ください。

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.

More DeepSeek models

最終更新:

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.