Model Comparison
DeepSeek R1 Distill Qwen 32B vs Nova LiteWhich is better in 2026?
DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks. Nova Lite is 1.3x cheaper per token.
Verdict: DeepSeek R1 Distill Qwen 32B vs Nova Lite — which is better?
DeepSeek R1 Distill Qwen 32B (by DeepSeek) and Nova Lite (by Amazon) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
DeepSeek R1 Distill Qwen 32B outperforms in 1 benchmarks (GPQA), while Nova Lite is better at 0 benchmarks. DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks.
On price, Nova Lite is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Nova Lite also accepts a larger context window (300,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek R1 Distill Qwen 32B if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- 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 if…
- cost matters — it's about 1.3x cheaper per token
- you process long inputs — it offers a 300,000 token context window
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 32B outperforms in 1 benchmarks (GPQA), while Nova Lite is better at 0 benchmarks.
DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 2.0x more expensive than Nova Lite ($0.06/1M tokens).
For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 1.3x cheaper than Nova Lite ($0.24/1M tokens).
In conclusion, DeepSeek R1 Distill Qwen 32B is more expensive than Nova Lite.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Nova Lite accepts 300,000 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. DeepSeek R1 Distill Qwen 32B can generate longer responses up to 128,000 tokens, while Nova Lite is limited to 2,048 tokens.
Input Capabilities
Supported data types and modalities
Nova Lite supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 32B does not.
Nova Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Qwen 32B
Nova Lite
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 32B 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 Distill Qwen 32B was released on 2025-01-20, while Nova Lite was released on 2024-11-20.
DeepSeek R1 Distill Qwen 32B is 2 months newer than Nova Lite.
Jan 20, 2025
1.4 years ago
2mo newerNov 20, 2024
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.
Provider Availability
DeepSeek R1 Distill Qwen 32B is available from DeepInfra. Nova Lite is available from Bedrock.
DeepSeek R1 Distill Qwen 32B
Nova Lite
Outputs Comparison
Key Takeaways
Nova Lite
View detailsAmazon
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Qwen 32B and Nova Lite side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek R1 Distill Qwen 32B vs Nova Lite.