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DeepSeek R1 Zero vs Llama 3.1 Nemotron Nano 8B V1

DeepSeek R1 Zero leads the LLM Stats Score 16.2 to 5.5.

DeepSeek · NVIDIA · Updated for 2026

Which is better?

DeepSeek R1 Zero leads the overall LLM Stats Score 16.2 to 5.5, ranking #205 overall.

In the 2 individual benchmarks reported for both models, DeepSeek R1 Zero wins 2; this is a narrower head-to-head signal than the composite indexes.

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

Choose DeepSeek R1 Zero

  • overall performance matters — it scores 16.2 and ranks #205 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results

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.

Core performance indexes
16.2
#205
5.5
#279
16.5
#197
6.0
#273
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
— / M
— / M
Output price
— / M
— / M
Context window

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Zero
Llama 3.1 Nemotron Nano 8B V1
17.7#180
9.2#241
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

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

2 shared

DeepSeek R1 Zero outperforms in 2 benchmarks (GPQA, MATH-500), while Llama 3.1 Nemotron Nano 8B V1 is better at 0 benchmarks.

DeepSeek R1 Zero significantly outperforms across most benchmarks.

Sun Aug 30 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

663.0B diff

DeepSeek R1 Zero has 663.0B more parameters than Llama 3.1 Nemotron Nano 8B V1, making it 8287.5% larger.

DeepSeek
DeepSeek R1 Zero
671.0Bparameters
NVIDIA
Llama 3.1 Nemotron Nano 8B V1
8.0Bparameters
671.0B
DeepSeek R1 Zero
8.0B
Llama 3.1 Nemotron Nano 8B V1

License

Usage and distribution terms

DeepSeek R1 Zero 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 Zero

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 Zero 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 Zero.

DeepSeek R1 Zero

Jan 20, 2025

1.6 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 Zero'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 Zero's cutoff date.

DeepSeek R1 Zero

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 Zero and Llama 3.1 Nemotron Nano 8B V1 side-by-side, then vote on the output you prefer.

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

FAQ

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

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

DeepSeek R1 Zero leads the LLM Stats Score 16.2 to 5.5. DeepSeek R1 Zero 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 Zero compare to Llama 3.1 Nemotron Nano 8B V1 in benchmarks?

DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%. 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 main differences between DeepSeek R1 Zero and Llama 3.1 Nemotron Nano 8B V1?

Key differences include LLM Stats Score (16.2 vs 5.5), licensing (MIT vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

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

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