Atlas / Models / DeepSeek / DeepSeek: R1 Distill Qwen 32B

DeepSeek: R1 Distill Qwen 32B✓ Catalog verified

deepseek/deepseek-r1-distill-qwen-32b

DeepSeek R1 Distill Qwen 32B is a distilled large language model based on Qwen 2.5 32B, using outputs from DeepSeek R1. It outperforms OpenAI's o1-mini across various benchmarks, achieving new state-of-the-art results for dense models.\n\nOther benchmark results include:\n\n- AIME 2024 pass@1: 72.6\n- MATH-500 pass@1: 94.3\n- CodeForces Rating: 1691\n\nThe model leverages fine-tuning from DeepSeek R1's outputs, enabling competitive performance comparable to larger frontier models.

Input price
$0.29 /1M
Output price
$0.29 /1M
Context
33K
Modalities
text
Released
Jan 29, 2025
Tool calling
Atlas signal
84/100
01

Overview

DeepSeek R1 Distill Qwen 32B is a distilled large language model based on Qwen 2.5 32B, using outputs from DeepSeek R1. It outperforms OpenAI's o1-mini across various benchmarks, achieving new state-of-the-art results for dense models.\n\nOther benchmark results include:\n\n- AIME 2024 pass@1: 72.6\n- MATH-500 pass@1: 94.3\n- CodeForces Rating: 1691\n\nThe model leverages fine-tuning from DeepSeek R1's outputs, enabling competitive performance comparable to larger frontier models.

Access: available through the official DeepSeek API. Context window: 33K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 5, 2026
02

Specifications

API identifierdeepseek/deepseek-r1-distill-qwen-32b
ProviderDeepSeek
Model typeText LLM
Context window33K catalog
Input modalitiestext
Output modalitiestext
ReleasedJan 29, 2025
TokenizerQwen
Instruction formatdeepseek-r1
ModeratedNo
Architecture modalitytext->text
Supported parameters
frequency_penaltyinclude_reasoninglogprobsmax_tokenspresence_penaltyreasoningresponse_formatstopstructured_outputstemperaturetop_logprobstop_p
Source: provider documentation + catalog feedMethodology →
03

Pricing

Live pricing components for deepseek/deepseek-r1-distill-qwen-32b as published in the catalog.

$0.29
Input /1M
$0.29
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$2.9e-7$0.29 / 1MPer input token
Completion tokens$2.9e-7$0.29 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$0.2Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual UnderstandingNot advertisedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool CallingNot advertisedSupports tools / function calling
Self-Hosting✓ SupportedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

DeepSeek: R1 Distill Qwen 32B
MMLU Signal (Reasoning)
86signal
Coding Signal (HumanEval proxy)
87signal
Math Signal (GSM8K proxy)
87signal
Science Signal (GPQA proxy)
74signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call DeepSeek: R1 Distill Qwen 32B through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="deepseek/deepseek-r1-distill-qwen-32b",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
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Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does DeepSeek: R1 Distill Qwen 32B cost?

$0.29 per 1M input tokens and $0.29 per 1M output tokens on the official DeepSeek API.

What is the context window of DeepSeek: R1 Distill Qwen 32B?

DeepSeek: R1 Distill Qwen 32B supports up to 33K tokens of context.

Does DeepSeek: R1 Distill Qwen 32B support tool / function calling?

DeepSeek: R1 Distill Qwen 32B does not advertise first-class tool/function calling. Check vendor docs for the latest capabilities.

How do I access DeepSeek: R1 Distill Qwen 32B?

Use the official DeepSeek API with the model id `deepseek/deepseek-r1-distill-qwen-32b`. See the Quick start section above for code examples.