Model comparison
DeepSeek R1 Distill Llama 70B vs DeepSeek V3
Capability radar, value bars, and side-by-side posture.
DeepSeek R1 Distill Llama 70B
Not scored
value score
DeepSeek V3
87
value score
DeepSeek R1 Distill Llama 70B ctx
128K
DeepSeek V3 ctx
128K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- DeepSeek V387
Attribute tape
| Field | DeepSeek R1 Distill Llama 70B | DeepSeek V3 |
|---|---|---|
| Developer | ~deepseek | ~deepseek |
| Context | 128K | 128K |
| Modalities | Text, Code | |
| Openness | Open Weights | Open Weights |
| Speed | — | — |
| Price | — | $0.27/1M in · $1.1/1M out |
| Value score | — | 87 |
| Summary | An open-weight 70B reasoning model produced by distilling DeepSeek-R1's chain-of-thought behavior into Meta's Llama-3.3-70B-Instruct backbone. It targets math, coding, and logic tasks with strong reasoning quality at a fraction of the compute cost of the full 671B DeepSeek-R1. | Strong open-weights MoE general model. |