Интерфейс моделей ИИ

deepseek-ai/DeepSeek-R1-Distill-Qwen-14B

deepseek/r1-distill-qwen-14b

От DeepSeek · семейство: qwen · выпуск 2025-01-20

$0.100
Вход / 1M токенов
$0.100
Выход / 1M токенов
131K
Окно контекста
131K
Макс. вывод

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

Возможности

✓ Tool calling✓ Рассуждение✓ Структурированный вывод✗ Вложения✗ Открытые веса✓ Управление температурой
Модальности: вход text · выход 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.

Coding76
  • Tool calling40/40
  • Structured output20/20
  • Reasoning10/10
  • Context window (100K → 1M)2/20
  • Provider availability4/10
Agents94
  • Tool calling35/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability4/10
JSON / structured output100
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume20/20
Cost efficiency79
  • Headline price (log-scaled)79/95
  • Has prompt-cache pricing0/5
Long context46
  • Context window (100K → 2M)36/90
  • Has published price for full window10/10
Production-readiness76
  • Number of independent providers20/40
  • 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
$0.55
< $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
$1.10
< $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
$0.25
< $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
$0.90
< $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
$1.26
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Детализация цен

Рекомендованная цена от siliconflow-cn · deepseek-ai/DeepSeek-R1-Distill-Qwen-14B

$0.100
Вход
$0.100
Выход

Доступна у 4 провайдеров

ПровайдерID модели провайдераВход / 1MВыход / 1MКонтекстВыпуск
SiliconFlow (China)
siliconflow-cn
deepseek-ai/DeepSeek-R1-Distill-Qwen-14B$0.100$0.100131K2025-01-20
Alibaba (China)
alibaba-cn
deepseek-r1-distill-qwen-14b$0.144$0.43133K2025-01-01
NovitaAI
novita-ai
deepseek/deepseek-r1-distill-qwen-14b$0.150$0.15033K2025-01-20
SiliconFlow
siliconflow
deepseek-ai/DeepSeek-R1-Distill-Qwen-14B$0.100$0.100131K2025-01-20

Расхождения данных между провайдерами

  • context_window varies: 131000, 32768
  • release_date varies (span 19d): 2025-01-01, 2025-01-20

Провайдеры сообщают разные значения для этой модели. Сводка выше использует репрезентативного провайдера; детали — в таблице.

Frequently asked questions

How much does deepseek-ai/DeepSeek-R1-Distill-Qwen-14B cost?

deepseek-ai/DeepSeek-R1-Distill-Qwen-14B costs $0.100 per 1M input tokens and $0.100 per 1M output tokens, sourced from siliconflow-cn. 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-ai/DeepSeek-R1-Distill-Qwen-14B?

deepseek-ai/DeepSeek-R1-Distill-Qwen-14B 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 deepseek-ai/DeepSeek-R1-Distill-Qwen-14B support tool calling?

Yes. deepseek-ai/DeepSeek-R1-Distill-Qwen-14B 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 deepseek-ai/DeepSeek-R1-Distill-Qwen-14B support structured output / JSON mode?

Yes. deepseek-ai/DeepSeek-R1-Distill-Qwen-14B 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 deepseek-ai/DeepSeek-R1-Distill-Qwen-14B accept image input?

No. deepseek-ai/DeepSeek-R1-Distill-Qwen-14B only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is deepseek-ai/DeepSeek-R1-Distill-Qwen-14B open-weight?

No. deepseek-ai/DeepSeek-R1-Distill-Qwen-14B 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-ai/DeepSeek-R1-Distill-Qwen-14B?

If deepseek-ai/DeepSeek-R1-Distill-Qwen-14B 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.

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Capability lists this model is in

See also

Последнее обновление:

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.