Model comparison
DeepSeek-V3.1 vs o3
Capability radar, value bars, and side-by-side posture.
DeepSeek-V3.1
Not scored
value score
o3
93
value score
DeepSeek-V3.1 ctx
128K
o3 ctx
200K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- o393
Attribute tape
| Field | DeepSeek-V3.1 | o3 |
|---|---|---|
| Developer | deepseek-ai | OpenAI |
| Context | 128K | 200K |
| Modalities | Text, Code | |
| Openness | Open Weights | Proprietary Model |
| Speed | — | — |
| Price | $0.27/1M in · $1.1/1M out | $10/1M in · $40/1M out |
| Value score | — | 93 |
| 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 reasoning model focused on hard problems. |