Model comparison
DeepSeek-R1 vs GPT-5
Capability radar, value bars, and side-by-side posture.
DeepSeek-R1
Not scored
value score
GPT-5
94
value score
DeepSeek-R1 ctx
128K
GPT-5 ctx
400K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- GPT-594
Attribute tape
| Field | DeepSeek-R1 | GPT-5 |
|---|---|---|
| Developer | deepseek-ai | OpenAI |
| Context | 128K | 400K |
| Modalities | Text-generation | Text, Code, Image, Audio |
| Openness | — | Proprietary Model |
| Speed | — | Fast |
| Price | — | Mid-High |
| Value score | — | 94 |
| 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. | OpenAI frontier multimodal model. |