Model comparison
DeepSeek-R1 vs Claude 4 Sonnet
Capability radar, value bars, and side-by-side posture.
DeepSeek-R1
Not scored
value score
Claude 4 Sonnet
91
value score
DeepSeek-R1 ctx
128K
Claude 4 Sonnet ctx
200K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- Claude 4 Sonnet91
Attribute tape
| Field | DeepSeek-R1 | Claude 4 Sonnet |
|---|---|---|
| Developer | deepseek-ai | Anthropic |
| Context | 128K | 200K |
| Modalities | Text-generation | Text, Code, Image |
| Openness | — | Proprietary Model |
| Speed | — | Fast |
| Price | — | $3/1M in · $15/1M out |
| Value score | — | 91 |
| Summary | DeepSeek-R1 is a 671B-parameter mixture-of-experts reasoning model (37B activated per token) released by DeepSeek in January 2025, trained with large-scale reinforcement learning to achieve benchmark-competitive performance on math, coding, and multi-step inference tasks. It is released as open weights and positioned as a cost-efficient alternative to closed frontier reasoning systems such as OpenAI o1. | Balanced Claude model for coding and agents. |