DeepSeek R1

Key Features

• Superior Intelligence

-1. Scores 78% on AIME 2025 and 85% on GPQA for math and science tasks

-2. Matches OpenAI’s o3-mini in reasoning with enhanced logical clarity

-3. Uses reinforcement learning for step-by-step problem-solving

• Performance Excellence

-1. Outperforms QwQ-32B in coding (HumanEval: 90%) and reasoning benchmarks

-2. Processes 128K token context, handling large datasets and multi-step queries

-3. Latency optimized for quick responses, averaging 8 seconds

• Cost Efficiency

-1. Priced at $0.14 per million input tokens, $0.56 per million output tokens

-2. Up to 75% cheaper than o3-mini, undercutting most frontier models

-3. Free access via DeepSeek’s chat platform with usage limits

• Developer-Friendly Features

-1. Supports function calling, JSON outputs, and API integrations

-2. Open-source components available on Hugging Face for customization

-3. Compatible with tools like vLLM and DeepSeek’s SDK

• Practical Applications

-1. Powers coding assistants, research platforms, and enterprise workflows

-2. Ideal for budget-conscious teams needing high performance

• Accessibility

-1. Available via DeepSeek’s API, chat interface, and partner platforms

-2. Quantized versions support local deployment on consumer GPUs