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Model details

deepseek-ai/DeepSeek-R1

DeepSeek-R1 is a reasoning-oriented model that belongs to the broader wave of "thinking" AI systems, designed to break problems into smaller steps, weigh alternatives, and arrive at answers through explicit chains of logical reasoning rather than single-shot generation. Third-party commentary highlights it as a milestone in this category, emphasizing its ability to handle tasks that demand deeper analysis than traditional language models typically provide, and positioning it as a credible alternative to much more expensive proprietary offerings. The model has attracted independent technical write-ups that walk through its architecture and behavior, signaling sustained community interest in how it actually reasons through complex inputs.

Through its marketplace, SiliconFlow hosts DeepSeek-R1 alongside a broad catalog of open-source text, image, code, and multimodal models, giving developers a managed API path to the system without having to stand up their own inference infrastructure. The platform's pay-as-you-go model and shared inference acceleration make it practical to integrate DeepSeek-R1 into production pipelines where reasoning-heavy workloads would otherwise be costly to run. This combination of a capable reasoning model with turnkey cloud delivery makes DeepSeek-R1 on SiliconFlow a sensible fit for teams building analytical assistants, research aids, or decision-support tools that need step-by-step deliberation rather than lightweight responses.

SiliconFlowdeepseek-ai/DeepSeek-R1deepseek-thinking

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Provider
SiliconFlow
Model key
deepseek-ai/DeepSeek-R1
Release date
May 28, 2025
Last updated
Nov 25, 2025
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.50
Output token cost
$2.18

Limits

Output tokens
164,000 tokens
Context window
164,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about deepseek-ai/DeepSeek-R1

SiliconFlow (China)

CoverageBenchmark

A peer-reviewed benchmark published in Clinics (Volume 81, 2026; DOI 10.1016/j.clinsp.2026.101021) evaluated DeepSeek-R1 on 321 text-based USMLE-style questions, where it achieved 92.5% overall accuracy (95% CI 89.1%–94.9%), significantly outperforming three OpenAI models — GPT-4 Omni, OpenAI o3-mini, and OpenAI o1 pro DeepSeek-R1 also surpassed reported average human examinee performance across all three USMLE steps and showed markedly stronger reasoning on discordant questions, achieving 82.8% accuracy versus 14.1%–28.1% for the OpenAI models (p < 0.0001). Inter-model consensus between DeepSeek-R1 and OpenAI o1 pro reached 94.9% ac

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