DeepSeek-R1-0528 vs Nova 2 Pro
Nova 2 Pro leads the LLM Stats Score 30.8 to 24.1.
DeepSeek · Amazon · Updated for 2026
Which is better?
Nova 2 Pro leads the overall LLM Stats Score 30.8 to 24.1, ranking #115 overall.
In the 6 individual benchmarks reported for both models, Nova 2 Pro wins 5; 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 need open weights you can self-host or fine-tune
Choose Nova 2 Pro
- overall performance matters — it scores 30.8 and ranks #115 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 5 of 6 exact shared results
- you want the most recent training data — it shipped Dec 2025
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 · 18 for Nova 2 Pro
DeepSeek-R1-0528 outperforms in 1 benchmarks (MMLU-Pro), while Nova 2 Pro is better at 5 benchmarks (AIME 2025, GPQA, LiveCodeBench, SWE-Bench Verified, Terminal-Bench).
Nova 2 Pro significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
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).
Input capabilities
Documented input modalities across available providers
Nova 2 Pro supports multimodal inputs, whereas DeepSeek-R1-0528 does not.
Nova 2 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-R1-0528
Nova 2 Pro
License
Usage and distribution terms
DeepSeek-R1-0528 is licensed under MIT, while Nova 2 Pro uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-R1-0528 was released on 2025-05-28, while Nova 2 Pro was released on 2025-12-02.
Nova 2 Pro is 6 months newer than DeepSeek-R1-0528.
May 28, 2025
1.3 years ago
Dec 2, 2025
9 months ago
6mo newerKnowledge 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 Nova 2 Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-R1-0528 vs Nova 2 Pro.