Model Comparison

DeepSeek-R1 vs Llama 3.1 Nemotron 70B Instruct

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

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 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 Apr 17 2026 • llm-stats.com
DeepSeek
DeepSeek-R1
Input tokens$0.55
Output tokens$2.19
Best providerDeepSeek
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

601.0B diff

DeepSeek-R1 has 601.0B more parameters than Llama 3.1 Nemotron 70B Instruct, making it 858.6% larger.

DeepSeek
DeepSeek-R1
671.0Bparameters
NVIDIA
Llama 3.1 Nemotron 70B Instruct
70.0Bparameters
671.0B
DeepSeek-R1
70.0B
Llama 3.1 Nemotron 70B Instruct

Context Window

Maximum input and output token capacity

Only DeepSeek-R1 specifies input context (131,072 tokens). Only DeepSeek-R1 specifies output context (131,072 tokens).

DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
NVIDIA
Llama 3.1 Nemotron 70B Instruct
Input- tokens
Output- tokens
Fri Apr 17 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-R1 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

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 was released on 2025-01-20, while Llama 3.1 Nemotron 70B Instruct was released on 2024-10-01.

DeepSeek-R1 is 4 months newer than Llama 3.1 Nemotron 70B Instruct.

DeepSeek-R1

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'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's cutoff date.

DeepSeek-R1

—

Llama 3.1 Nemotron 70B Instruct

Dec 2023

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (131,072 tokens)
NVIDIA

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1
NVIDIA
Llama 3.1 Nemotron 70B Instruct

FAQ

Common questions about DeepSeek-R1 vs Llama 3.1 Nemotron 70B Instruct

DeepSeek-R1 (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.
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 supports 131K 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 is developed by DeepSeek and Llama 3.1 Nemotron 70B Instruct is developed by NVIDIA.