DeepSeek-R1
Open-weights frontier reasoning model trained via large-scale reinforcement learning without supervised cold start.
64k
Tokens
8.192k
Output limit
MoE (Mixture of Experts) Reasoning
Model family
671B (37B active)
Total / Active
$0.55
Per 1M tokens
$2.19
Per 1M tokens
Model Overview
DeepSeek-R1 is an open-weights (MIT license) 671B parameter Mixture-of-Experts (MoE) reasoning model. Trained with large-scale RL, it exhibits transparent chain-of-thought reasoning enclosed in `<think>` tags, matching OpenAI o1 on competition math (AIME 79.8%) and coding benchmarks at a fraction of inference cost. Can be run locally or via API.
Developer Implementation Notes
Transparent `<think>` tags allow inspecting internal reasoning. Full model requires ~400GB VRAM (FP8) or 8x 80GB GPUs; distilled versions (1.5B, 7B, 8B, 14B, 32B, 70B) run on consumer GPUs and laptops via Ollama.
Key Strengths
- Open-weights under permissive MIT license
- Uncensored and transparent chain-of-thought token visibility
- Extremely cheap API pricing ($0.55 / $2.19 per MTok)
- Distilled models available from 1.5B to 70B for consumer hardware
Limitations & Boundaries
- Full 671B model requires massive multi-GPU hardware for local hosting
- 64k context window is smaller than Claude/Gemini
- Can occasionally switch languages mid-thought in complex loops
Capabilities & Modalities
Best Production Use Cases
- Private on-premise deep reasoning & math evaluation
- Self-hosted coding and security audit pipelines
- Synthetic training data generation for smaller models
Verified Benchmark Results
Standardized evaluations with methodology notes and authoritative citation links.
Pricing & Inference Cost Calculator
Token Cost Estimator – DeepSeek-R1
Calculate projected inference spend with prompt caching
Quick Workload Presets
$1.1000
2.00M input tokens
$1.0950
0.50M output tokens
$2.20
Avg: $0.00220 / req
Deployment & Integration Options
ollama run deepseek-r1:70b\n# or for smaller consumer laptops:\nollama run deepseek-r1:32b\nollama run deepseek-r1:14b
vllm serve deepseek-ai/DeepSeek-R1 --trust-remote-code --tensor-parallel-size 8 --max-model-len 64000
curl https://api.deepseek.com/chat/completions \\\n -H "Content-Type: application/json" \\\n -H "Authorization: Bearer $DEEPSEEK_API_KEY" \\\n -d '{"model": "deepseek-reasoner", "messages": [{"role": "user", "content": "9.11 or 9.8, which is bigger?"}]}'Compare with Similar Models
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Data Accuracy & Verification Notice
AI model specifications, pricing records, and benchmark metrics published on this platform are compiled directly from authoritative sources (official provider documentation, research papers, and verified evaluation harnesses). Benchmark results reflect specific test harnesses and prompting methodologies; scores are not directly comparable across differing evaluation setups.