DeepSeek-R1-0528 vs DeepSeek R1 Zero
DeepSeek-R1-0528 and DeepSeek R1 Zero are closely matched at 24.2 and 16.1 on the LLM Stats Score.
DeepSeek · DeepSeek · Updated for 2026
Which is better?
DeepSeek-R1-0528 and DeepSeek R1 Zero are closely matched on the overall LLM Stats Score at 24.2 and 16.1.
In the 3 individual benchmarks reported for both models, DeepSeek-R1-0528 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-R1-0528
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- you want the most recent training data — it shipped May 2025
Choose DeepSeek R1 Zero
- you are already invested in the DeepSeek ecosystem
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
16 reported for DeepSeek-R1-0528 · 4 for DeepSeek R1 Zero
DeepSeek-R1-0528 outperforms in 3 benchmarks (AIME 2024, GPQA, LiveCodeBench), while DeepSeek R1 Zero is better at 0 benchmarks.
DeepSeek-R1-0528 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek R1 Zero has 0.0B more parameters than DeepSeek-R1-0528, making it 0.0% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-R1-0528 specifies input context (163,840 tokens). Only DeepSeek-R1-0528 specifies output context (163,840 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
DeepSeek-R1-0528 was released on 2025-05-28, while DeepSeek R1 Zero was released on 2025-01-20.
DeepSeek-R1-0528 is 4 months newer than DeepSeek R1 Zero.
May 28, 2025
1.3 years ago
4mo newerJan 20, 2025
1.6 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-R1-0528 and DeepSeek R1 Zero side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-R1-0528 vs DeepSeek R1 Zero.