Model Comparison
DeepSeek R1 Distill Qwen 32B vs Nova ProWhich is better in 2026?
DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 32B is 10.4x cheaper per token.
Verdict: DeepSeek R1 Distill Qwen 32B vs Nova Pro — which is better?
DeepSeek R1 Distill Qwen 32B (by DeepSeek) and Nova Pro (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 Pro is better at 0 benchmarks. DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks.
On price, DeepSeek R1 Distill Qwen 32B is roughly 10.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Nova Pro 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
- cost matters — it's about 10.4x cheaper per token
- you want the most recent training data — it shipped Jan 2025
- you need open weights you can self-host or fine-tune
Choose Nova Pro if…
- 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 Pro 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 6.7x cheaper than Nova Pro ($0.80/1M tokens).
For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 17.8x cheaper than Nova Pro ($3.20/1M tokens).
In conclusion, Nova Pro is more expensive than DeepSeek R1 Distill Qwen 32B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Nova Pro accepts 300,000 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. Nova Pro can generate longer responses up to 300,000 tokens, while DeepSeek R1 Distill Qwen 32B is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Nova Pro supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 32B does not.
Nova Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Qwen 32B
Nova Pro
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 32B is licensed under MIT, while Nova 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 Distill Qwen 32B was released on 2025-01-20, while Nova Pro was released on 2024-11-20.
DeepSeek R1 Distill Qwen 32B is 2 months newer than Nova Pro.
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 Pro is available from Bedrock.
DeepSeek R1 Distill Qwen 32B
Nova Pro
Outputs Comparison
Key Takeaways
Nova Pro
View detailsAmazon
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Distill Qwen 32B vs Nova Pro.