DeepSeek R1 Distill Llama 70B vs DeepSeek R1 Zero
DeepSeek R1 Distill Llama 70B and DeepSeek R1 Zero are closely matched at 14.5 and 16.0 on the LLM Stats Score.
DeepSeek · DeepSeek · Updated for 2026
Which is better?
DeepSeek R1 Distill Llama 70B and DeepSeek R1 Zero are closely matched on the overall LLM Stats Score at 14.5 and 16.0.
In the 4 individual benchmarks reported for both models, DeepSeek R1 Zero wins 3; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek R1 Distill Llama 70B
- you want predictable pricing at $0.10/M input and $0.40/M output
Choose DeepSeek R1 Zero
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
4 reported for DeepSeek R1 Distill Llama 70B · 4 for DeepSeek R1 Zero
DeepSeek R1 Distill Llama 70B outperforms in 1 benchmarks (LiveCodeBench), while DeepSeek R1 Zero is better at 2 benchmarks (GPQA, MATH-500).
DeepSeek R1 Zero has a slight edge in benchmark performance.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek R1 Zero has 600.4B more parameters than DeepSeek R1 Distill Llama 70B, making it 850.4% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek R1 Distill Llama 70B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Llama 70B specifies output context (128,000 tokens).
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Both models were released on 2025-01-20.
They likely represent similar generations of model development.
Jan 20, 2025
1.7 years ago
Jan 20, 2025
1.7 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Llama 70B and DeepSeek R1 Zero side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs DeepSeek R1 Zero.