Интерфейс моделей ИИ

DeepSeek R1 Distill Qwen 1.5B

alibaba-cn/r1-distill-qwen-1-5b

От alibaba-cn · семейство: qwen · выпуск 2025-01-01

⚠ Это сообществом дообученная / производная модель — не официальный релиз вендора.

Неизвестно
Вход / 1M токенов
Неизвестно
Выход / 1M токенов
33K
Окно контекста
16K
Макс. вывод

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

Возможности

Tool callingРассуждение? Структурированный выводВложенияОткрытые весаУправление 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.

Coding51
  • Tool calling40/40
  • Structured output0/20
  • Reasoning10/10
  • Context window (100K → 1M)0/20
  • Provider availability1/10
Agents61
  • Tool calling35/35
  • Structured output0/25
  • Reasoning15/15
  • Output token limit10/15
  • Provider availability1/10
JSON / structured output30
  • Structured output / JSON mode0/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume0/20
Cost efficiency0
  • Has published price0/100
Long context0
  • Context ≥ 100K0/100
Production-readiness30
  • Number of independent providers5/40
  • Has published per-token price0/20
  • 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.

This model has no published per-token price, so we can't compute a cost estimate. See the provider's official pricing page for current rates.

Доступна у 1 провайдеров

ПровайдерID модели провайдераВход / 1MВыход / 1MКонтекстВыпуск
Alibaba (China)
alibaba-cn
deepseek-r1-distill-qwen-1-5bUnknownUnknown33K2025-01-01

Frequently asked questions

How much does DeepSeek R1 Distill Qwen 1.5B cost?

DeepSeek R1 Distill Qwen 1.5B does not have a publicly published per-token price in our data source. This usually means it is gated behind enterprise sales or invite access. Check alibaba-cn's official pricing page for the most current rates.

What is the context window of DeepSeek R1 Distill Qwen 1.5B?

DeepSeek R1 Distill Qwen 1.5B has a context window of 33K tokens, with a max output of 16K tokens per reply. This is the total combined size of prompt + completion.

Does DeepSeek R1 Distill Qwen 1.5B support tool calling?

Yes. DeepSeek R1 Distill Qwen 1.5B 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 R1 Distill Qwen 1.5B support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for DeepSeek R1 Distill Qwen 1.5B in our data source. Verify with alibaba-cn's official documentation before relying on it in production.

Can DeepSeek R1 Distill Qwen 1.5B accept image input?

No. DeepSeek R1 Distill Qwen 1.5B only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is DeepSeek R1 Distill Qwen 1.5B open-weight?

No. DeepSeek R1 Distill Qwen 1.5B is a proprietary model — only alibaba-cn (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to DeepSeek R1 Distill Qwen 1.5B?

If DeepSeek R1 Distill Qwen 1.5B doesn't fit, consider QwQ Plus, Tongyi Intent Detect V3, QwQ 32B. 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 alibaba-cn models

Capability lists this model is in

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.