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DeepSeek R1 Distill Llama 70B vs Llama 3.1 Nemotron Nano 8B V1

DeepSeek R1 Distill Llama 70B leads the LLM Stats Score 14.5 to 4.8.

DeepSeek · NVIDIA · Updated for 2026

Which is better?

DeepSeek R1 Distill Llama 70B leads the overall LLM Stats Score 14.5 to 4.8, ranking #241 overall.

The models split the 2 individual benchmarks reported for both models evenly.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek R1 Distill Llama 70B

  • overall performance matters — it scores 14.5 and ranks #241 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes

Choose Llama 3.1 Nemotron Nano 8B V1

  • you want the most recent training data — it shipped Mar 2025

At a glance

The differences that matter most.

DeepSeek R1 Distill Llama 70B
DeepSeek
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
Core performance indexes
LLM Stats Score
14.5
#241
4.8
#306
Reasoning
14.7
#234
5.3
#301
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
$0.10 / M
— / M
Output price
$0.40 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Llama 70B
Llama 3.1 Nemotron Nano 8B V1
Math
16.5#203
8.8#258
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Llama 70B · 7 for Llama 3.1 Nemotron Nano 8B V1

2 shared

DeepSeek R1 Distill Llama 70B outperforms in 1 benchmarks (GPQA), while Llama 3.1 Nemotron Nano 8B V1 is better at 1 benchmark (MATH-500).

Both models are evenly matched across the benchmarks.

Sat Sep 26 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

62.6B diff

DeepSeek R1 Distill Llama 70B has 62.6B more parameters than Llama 3.1 Nemotron Nano 8B V1, making it 782.5% larger.

DeepSeek
DeepSeek R1 Distill Llama 70B
70.6Bparameters
NVIDIA
Llama 3.1 Nemotron Nano 8B V1
8.0Bparameters
70.6B
DeepSeek R1 Distill Llama 70B
8.0B
Llama 3.1 Nemotron Nano 8B V1

Context Window

Maximum input and output token capacity

Only DeepSeek R1 Distill Llama 70B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Llama 70B specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Llama 70B
Input128,000 tokens
Output128,000 tokens
NVIDIA
Llama 3.1 Nemotron Nano 8B V1
Input- tokens
Output- tokens
Sat Sep 26 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Llama 70B is licensed under MIT, while Llama 3.1 Nemotron Nano 8B V1 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 Llama 70B

MIT

Open weights

Llama 3.1 Nemotron Nano 8B V1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while Llama 3.1 Nemotron Nano 8B V1 was released on 2025-03-18.

Llama 3.1 Nemotron Nano 8B V1 is 2 months newer than DeepSeek R1 Distill Llama 70B.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.7 years ago

Llama 3.1 Nemotron Nano 8B V1

Mar 18, 2025

1.5 years ago

1mo newer

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron Nano 8B V1 has a documented knowledge cutoff of 2023-12-31, while DeepSeek R1 Distill Llama 70B's cutoff date is not specified.

We can confirm Llama 3.1 Nemotron Nano 8B V1's training data extends to 2023-12-31, but cannot make a direct comparison without DeepSeek R1 Distill Llama 70B's cutoff date.

DeepSeek R1 Distill Llama 70B

—

Llama 3.1 Nemotron Nano 8B V1

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Llama 70B and Llama 3.1 Nemotron Nano 8B V1 side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 70B
✓ Preferred
Llama 3.1 Nemotron Nano 8B V1
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Llama 70B vs Llama 3.1 Nemotron Nano 8B V1.

Which is better, DeepSeek R1 Distill Llama 70B or Llama 3.1 Nemotron Nano 8B V1?

DeepSeek R1 Distill Llama 70B leads the LLM Stats Score 14.5 to 4.8. DeepSeek R1 Distill Llama 70B is made by DeepSeek and Llama 3.1 Nemotron Nano 8B V1 is made by NVIDIA. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Distill Llama 70B compare to Llama 3.1 Nemotron Nano 8B V1 in benchmarks?

DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%. Llama 3.1 Nemotron Nano 8B V1 scores MATH-500: 95.4%, MBPP: 84.6%, MT-Bench: 81.0%, IFEval: 79.3%, BFCL v2: 63.6%.

What are the context window sizes for DeepSeek R1 Distill Llama 70B and Llama 3.1 Nemotron Nano 8B V1?

DeepSeek R1 Distill Llama 70B supports 128K tokens and Llama 3.1 Nemotron Nano 8B V1 supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek R1 Distill Llama 70B and Llama 3.1 Nemotron Nano 8B V1?

Key differences include LLM Stats Score (14.5 vs 4.8), licensing (MIT vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Llama 70B and Llama 3.1 Nemotron Nano 8B V1?

DeepSeek R1 Distill Llama 70B is developed by DeepSeek and Llama 3.1 Nemotron Nano 8B V1 is developed by NVIDIA.

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