DeepSeek R1 Zero vs Nova Lite
DeepSeek R1 Zero leads the LLM Stats Score 16.0 to 7.6.
DeepSeek · Amazon · Updated for 2026
Which is better?
DeepSeek R1 Zero leads the overall LLM Stats Score 16.0 to 7.6, ranking #226 overall.
In the 1 individual benchmarks reported for both models, DeepSeek R1 Zero wins 1; 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 Zero
- overall performance matters — it scores 16.0 and ranks #226 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Jan 2025
- you need open weights you can self-host or fine-tune
Choose Nova Lite
- you want predictable pricing at $0.06/M input and $0.24/M output
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 Zero · 27 for Nova Lite
DeepSeek R1 Zero outperforms in 1 benchmarks (GPQA), while Nova Lite is better at 0 benchmarks.
DeepSeek R1 Zero 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 Nova Lite specifies input context (300,000 tokens). Only Nova Lite specifies output context (2,048 tokens).
Input capabilities
Documented input modalities across available providers
Nova Lite supports multimodal inputs, whereas DeepSeek R1 Zero does not.
Nova Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Zero
Nova Lite
License
Usage and distribution terms
DeepSeek R1 Zero is licensed under MIT, while Nova Lite 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 Zero was released on 2025-01-20, while Nova Lite was released on 2024-11-20.
DeepSeek R1 Zero is 2 months newer than Nova Lite.
Jan 20, 2025
1.7 years ago
2mo newerNov 20, 2024
1.8 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 Zero and Nova Lite side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Zero vs Nova Lite.