Model comparison
DeepSeek-V3.1 vs GPT-5
Capability radar, value bars, and side-by-side posture.
DeepSeek-V3.1
Not scored
value score
GPT-5
94
value score
DeepSeek-V3.1 ctx
128K
GPT-5 ctx
400K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- GPT-594
Attribute tape
| Field | DeepSeek-V3.1 | GPT-5 |
|---|---|---|
| Developer | deepseek-ai | OpenAI |
| Context | 128K | 400K |
| Modalities | Text, Code, Image, Audio | |
| Openness | Open Weights | Proprietary Model |
| Speed | — | Fast |
| Price | $0.27/1M in · $1.1/1M out | Mid-High |
| Value score | — | 94 |
| Summary | DeepSeek-V3.1 is an open-weight hybrid large language model that combines direct-response and step-by-step reasoning modes in a single model, optimized for chat, coding, tool calling, and multi-step agent tasks. It is DeepSeek's flagship general-purpose release, improving on prior V3/R1-era models in thinking efficiency and tool-use performance. | OpenAI frontier multimodal model. |