DeepSeek R1 Distill Qwen 32B vs Nova Pro
DeepSeek R1 Distill Qwen 32B and Nova Pro are closely matched at 13.2 and 12.3 on the LLM Stats Score. DeepSeek R1 Distill Qwen 32B is 10.4x cheaper per token.
DeepSeek · Amazon · Updated for 2026
Which is better?
DeepSeek R1 Distill Qwen 32B and Nova Pro are closely matched on the overall LLM Stats Score at 13.2 and 12.3.
In the 1 individual benchmarks reported for both models, DeepSeek R1 Distill Qwen 32B wins 1; this is a narrower head-to-head signal than the composite indexes.
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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek R1 Distill Qwen 32B
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- 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
- you process long inputs — it offers a 300,000 token context window
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 Distill Qwen 32B · 27 for Nova Pro
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.
Human preference
Blind head-to-head votes and playground preference scores
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
Documented input modalities across available providers
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
1.6 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.
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
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Qwen 32B and Nova Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Qwen 32B vs Nova Pro.