Wednesday, October 28, 2026 🏢 AI Companies Hub RSS About Contact Admin
POPULAR BEATS: Generative AI LLMs & NLP Autonomous Agents Robotics & Hardware Enterprise AI AI Ethics & Policy 🏢 All AI Companies

DeepSeek-R1

Reinforcement Learning Reasoning MoE
Official Source & Paper
DeepSeek logo DeepSeek 📄 Open Weights (MIT) 🌍 China (China) 🗓️ Effective Date: 20.01.2025

Groundbreaking open-weights reasoning model trained via large-scale reinforcement learning without prior supervised fine-tuning.

Model Size / Parameters 671B (37B active) Architecture: Reinforcement Learning Reasoning MoE
Context Window (Input) 128k tokens Token Capacity
Max Output Tokens 32k tokens Single Generation Limit
Supported Modalities Text, Code Native Multimodal Ingestion
License & Access Open Weights (MIT) Open Weights vs. API
Release Date January 2025 Effective Date: 20.01.2025

Verified Benchmark Results

Standardized academic and industry evaluation benchmarks (Effective Date: 20.01.2025).

MMLU-Pro / 5-Shot General Intellect
90.8%
SWE-bench Verified Software Engineering
49.2%
MATH 500 / AIME Mathematical Reasoning
97.3%
GPQA Diamond Doctoral Science
71.5%
HumanEval / Python Algorithm Synthesis
90.2%

Pricing & Cost Efficiency

Official API token pricing and self-hosted licensing terms.

Input Pricing (Prompt)
$0.55 / 1M tokens
Per 1 million processed tokens
Output Pricing (Generation)
$2.19 / 1M tokens
Per 1 million generated tokens
Verified Datasheet: Source: DeepSeek Research Documentation • Effective Date: 20.01.2025
← Back to All AI Model Datasheets

Latest Coverage & Analysis on DeepSeek-R1