Model Comparison

DeepSeek R1 Distill Qwen 32B vs Llama 3.1 Nemotron 70B Instruct

Comparing DeepSeek R1 Distill Qwen 32B and Llama 3.1 Nemotron 70B Instruct across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Distill Qwen 32B and Llama 3.1 Nemotron 70B Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Fri Mar 27 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input tokens$0.12
Output tokens$0.18
Best providerDeepinfra
NVIDIA
Llama 3.1 Nemotron 70B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

37.2B diff

Llama 3.1 Nemotron 70B Instruct has 37.2B more parameters than DeepSeek R1 Distill Qwen 32B, making it 113.4% larger.

DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
NVIDIA
Llama 3.1 Nemotron 70B Instruct
70.0Bparameters
32.8B
DeepSeek R1 Distill Qwen 32B
70.0B
Llama 3.1 Nemotron 70B Instruct

Context Window

Maximum input and output token capacity

Only DeepSeek R1 Distill Qwen 32B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Qwen 32B specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
NVIDIA
Llama 3.1 Nemotron 70B Instruct
Input- tokens
Output- tokens
Fri Mar 27 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B is licensed under MIT, while Llama 3.1 Nemotron 70B Instruct uses Llama 3.1 Community License.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek R1 Distill Qwen 32B

MIT

Open weights

Llama 3.1 Nemotron 70B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while Llama 3.1 Nemotron 70B Instruct was released on 2024-10-01.

DeepSeek R1 Distill Qwen 32B is 4 months newer than Llama 3.1 Nemotron 70B Instruct.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.2 years ago

3mo newer
Llama 3.1 Nemotron 70B Instruct

Oct 1, 2024

1.5 years ago

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron 70B Instruct has a documented knowledge cutoff of 2023-12-01, while DeepSeek R1 Distill Qwen 32B's cutoff date is not specified.

We can confirm Llama 3.1 Nemotron 70B Instruct's training data extends to 2023-12-01, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 32B's cutoff date.

DeepSeek R1 Distill Qwen 32B

Llama 3.1 Nemotron 70B Instruct

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Detailed Comparison

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs Llama 3.1 Nemotron 70B Instruct

DeepSeek R1 Distill Qwen 32B (DeepSeek) and Llama 3.1 Nemotron 70B Instruct (NVIDIA) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. Llama 3.1 Nemotron 70B Instruct scores GSM8k: 91.4%, HellaSwag: 85.6%, Winogrande: 84.5%, GSM8K Chat: 81.9%, MMLU Chat: 80.6%.
DeepSeek R1 Distill Qwen 32B supports 128K tokens and Llama 3.1 Nemotron 70B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (MIT vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and Llama 3.1 Nemotron 70B Instruct is developed by NVIDIA.