DeepSeek-R1
Foundation Models · Free
Open-weights reasoning model rivaling o1
At a glance
- Made by
- DeepSeek
- Korean
- None (English and a few others only)
- Available on
- Web
- Open source
- MIT
- GitHub
- 91,891 stars · MIT
What is DeepSeek-R1?
DeepSeek-R1 is DeepSeek's first-generation reasoning model. It uses cold-start data to address the problems of DeepSeek-R1-Zero (endless repetition, readability, language mixing), which was trained with large-scale reinforcement learning (RL) without supervised fine-tuning. It is described as achieving performance comparable to OpenAI-o1 on math, code, and reasoning tasks. For the research community, R1-Zero, R1, and six distilled models based on Llama and Qwen have been open-sourced, and the repository license is MIT.
- Reasoning (chain of thought) based on large-scale reinforcement learning
- Self-verification, reflection, and long chain-of-thought generation
- Performance on math, code, and reasoning tasks
- Six distilled models based on Llama and Qwen released
- Local execution supported (usage recommendations provided)
Who uses DeepSeek-R1 and for what
- Solving math, code, and reasoning problems
- Reasoning model research (supports the research community)
Pricing
| Plan | Price | Main limits |
|---|---|---|
| deepseek-flash (V4.1-Flash) input cache hit (off-peak) | $0.003 | Input, per 1 million tokens |
| deepseek-flash (V4.1-Flash) input cache hit (peak) | $0.006 | Input, per 1 million tokens |
| deepseek-flash (V4.1-Flash) input cache miss (off-peak) | $0.15 | Input, per 1 million tokens |
| deepseek-flash (V4.1-Flash) input cache miss (peak) | $0.3 | Input, per 1 million tokens |
| deepseek-flash (V4.1-Flash) output (off-peak) | $0.6 | Output, per 1 million tokens |
| deepseek-flash (V4.1-Flash) output (peak) | $1.2 | Output, per 1 million tokens |
| deepseek-v4-pro input cache hit (off-peak) | $0.022 | Input, per 1 million tokens |
| deepseek-v4-pro input cache hit (peak) | $0.044 | Input, per 1 million tokens |
| deepseek-v4-pro input cache miss (off-peak) | $0.66 | Input, per 1 million tokens |
| deepseek-v4-pro input cache miss (peak) | $1.32 | Input, per 1 million tokens |
| deepseek-v4-pro output (off-peak) | $1.98 | Output, per 1 million tokens |
| deepseek-v4-pro output (peak) | $3.96 | Output, per 1 million tokens |
Checked on the official pages on 2026-10-14. Prices and features can change, so check the official site again before paying. · Official pricing page
AI tools similar to DeepSeek-R1 (alternatives)
DeepSeek-R1 vs. alternatives at a glance
| AI | Pricing | Combos on the map | Connected tools | Free | Cheapest monthly | Korean |
|---|---|---|---|---|---|---|
| DeepSeek-R1 | Free | 0 | 4 | — | — | No |
| Gemini Thinking | Free + paid | 0 | 4 | Yes | — | Yes |
| o3-mini | Free + paid | 0 | 4 | Yes | — | Yes |
| QwQ-32B | Free | 0 | 4 | — | — | No |
2 of these 4 tools have a free plan.
Combo and connection counts are based on the relationships recorded on AI Galaxy Map (2026-10-26); they are not a quality ranking.
DeepSeek-R1 on AI Galaxy Map
- One of 60 AI tools in the Foundation Models field.
- Connected to 4 other tools — #53 in its field.
Frequently asked questions
Can I use DeepSeek-R1 for free?
deepseek-flash (V4.1-Flash) input cache hit (off-peak) $0.003, deepseek-flash (V4.1-Flash) input cache hit (peak) $0.006, deepseek-flash (V4.1-Flash) input cache miss (off-peak) $0.15, deepseek-flash (V4.1-Flash) input cache miss (peak) $0.3, deepseek-flash (V4.1-Flash) output (off-peak) $0.6, deepseek-flash (V4.1-Flash) output (peak) $1.2, deepseek-v4-pro input cache hit (off-peak) $0.022, deepseek-v4-pro input cache hit (peak) $0.044, deepseek-v4-pro input cache miss (off-peak) $0.66, deepseek-v4-pro input cache miss (peak) $1.32, deepseek-v4-pro output (off-peak) $1.98, deepseek-v4-pro output (peak) $3.96. Prices can change, so check the official site before paying.
What AI can I use instead of DeepSeek-R1?
Tools that do the same job, such as Gemini Thinking, o3-mini, QwQ-32B, o1, are connected to it on the map.
Can I use DeepSeek-R1 in Korean?
None (English and a few others only)
Sources (official pages)
- https://github.com/deepseek-ai/DeepSeek-R1
- https://api-docs.deepseek.com/quick_start/pricing/
- https://www.deepseek.com/en/
Checked on the official pages on 2026-10-14. Prices and features can change, so check the official site again before paying.