deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
deepseek/r1-distill-qwen-32b제공: DeepSeek · 패밀리: qwen · 출시 2025-01-20
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
기능
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.
Coding78
- Tool calling40/40
- Structured output20/20
- Reasoning10/10
- Context window (100K → 1M)2/20
- Provider availability6/10
Agents96
- Tool calling35/35
- Structured output25/25
- Reasoning15/15
- Output token limit15/15
- Provider availability6/10
JSON / structured output99
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume19/20
Cost efficiency73
- Headline price (log-scaled)73/95
- Has prompt-cache pricing0/5
Long context46
- Context window (100K → 2M)36/90
- Has published price for full window10/10
Production-readiness86
- Number of independent providers30/40
- 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 | $0.99 < $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 | $1.98 < $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 | $0.45 < $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 | $1.62 < $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 | $2.27 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
가격 상세
추천 가격 제공자: siliconflow-cn · deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
6곳 제공사에서 이용 가능
| 제공자 | 제공자 모델 ID | 입력 / 1M | 출력 / 1M | 컨텍스트 | 출시일 |
|---|---|---|---|---|---|
| SiliconFlow (China) siliconflow-cn | deepseek-ai/DeepSeek-R1-Distill-Qwen-32B | $0.180 | $0.180 | 131K | 2025-01-20 |
| Alibaba (China) alibaba-cn | deepseek-r1-distill-qwen-32b | $0.287 | $0.861 | 33K | 2025-01-01 |
| NovitaAI novita-ai | deepseek/deepseek-r1-distill-qwen-32b | $0.300 | $0.300 | 64K | 2025-01-20 |
| Kilo Gateway kilo | deepseek/deepseek-r1-distill-qwen-32b | $0.290 | $0.290 | 33K | 2025-01-01 |
| Cloudflare AI Gateway cloudflare-ai-gateway | workers-ai/@cf/deepseek-ai/deepseek-r1-distill-qwen-32b | $0.500 | $4.88 | 128K | 2025-04-03 |
| SiliconFlow siliconflow | deepseek-ai/DeepSeek-R1-Distill-Qwen-32B | $0.180 | $0.180 | 131K | 2025-01-20 |
제공자 간 데이터 불일치
- context_window varies: 128000, 131000, 32768, 64000
- release_date varies (span 92d): 2025-01-01, 2025-01-20, 2025-04-03
제공자별로 이 모델의 값이 다릅니다. 위의 핵심 정보는 대표 제공자 기준이며, 제공자별 상세는 표를 참고하세요.
Frequently asked questions
How much does deepseek-ai/DeepSeek-R1-Distill-Qwen-32B cost?
deepseek-ai/DeepSeek-R1-Distill-Qwen-32B costs $0.180 per 1M input tokens and $0.180 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-32B?
deepseek-ai/DeepSeek-R1-Distill-Qwen-32B 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-32B support tool calling?
Yes. deepseek-ai/DeepSeek-R1-Distill-Qwen-32B 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-32B support structured output / JSON mode?
Yes. deepseek-ai/DeepSeek-R1-Distill-Qwen-32B 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-32B accept image input?
No. deepseek-ai/DeepSeek-R1-Distill-Qwen-32B 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-32B open-weight?
No. deepseek-ai/DeepSeek-R1-Distill-Qwen-32B 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-32B?
If deepseek-ai/DeepSeek-R1-Distill-Qwen-32B 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
마지막 업데이트:
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.