Model comparison
DeepSeek V3.1 vs DeepSeek V3
Capability radar, value bars, and side-by-side posture.
DeepSeek V3.1
Not scored
value score
DeepSeek V3
87
value score
DeepSeek V3.1 ctx
—
DeepSeek V3 ctx
128K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- DeepSeek V387
Attribute tape
| Field | DeepSeek V3.1 | DeepSeek V3 |
|---|---|---|
| Developer | ~deepseek | ~deepseek |
| Context | — | 128K |
| Modalities | Text, Code | |
| Openness | — | Open Weights |
| Speed | — | — |
| Price | — | $0.27/1M in · $1.1/1M out |
| Value score | — | 87 |
| Summary | DeepSeek V3.1 is a hybrid large language model that unifies step-by-step reasoning ('Think' mode) and fast direct answering ('Non-Think' mode) in a single open-weight model, with a 1M-token context window and enhanced tool-use and agent capabilities. | Strong open-weights MoE general model. |