Model Comparison

DeepSeek R1 Zero vs Llama-3.3 Nemotron Super 49B v1Which is better in 2026?

Both models are evenly matched across the benchmarks.

Verdict: DeepSeek R1 Zero vs Llama-3.3 Nemotron Super 49B v1 — which is better?

DeepSeek R1 Zero (by DeepSeek) and Llama-3.3 Nemotron Super 49B v1 (by NVIDIA) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

DeepSeek R1 Zero outperforms in 1 benchmarks (GPQA), while Llama-3.3 Nemotron Super 49B v1 is better at 1 benchmark (MATH-500). Both models are evenly matched across the benchmarks.

Choose DeepSeek R1 Zero if…

  • you are already invested in the DeepSeek ecosystem

Choose Llama-3.3 Nemotron Super 49B v1 if…

  • you want the most recent training data — it shipped Mar 2025
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Zero outperforms in 1 benchmarks (GPQA), while Llama-3.3 Nemotron Super 49B v1 is better at 1 benchmark (MATH-500).

Both models are evenly matched across the benchmarks.

Sun Jun 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

621.1B diff

DeepSeek R1 Zero has 621.1B more parameters than Llama-3.3 Nemotron Super 49B v1, making it 1244.7% larger.

DeepSeek
DeepSeek R1 Zero
671.0Bparameters
NVIDIA
Llama-3.3 Nemotron Super 49B v1
49.9Bparameters
671.0B
DeepSeek R1 Zero
49.9B
Llama-3.3 Nemotron Super 49B v1

License

Usage and distribution terms

DeepSeek R1 Zero is licensed under MIT, while Llama-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B v1 was released on 2025-03-18.

Llama-3.3 Nemotron Super 49B v1 is 2 months newer than DeepSeek R1 Zero.

DeepSeek R1 Zero

Jan 20, 2025

1.4 years ago

Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.2 years ago

1mo newer

Knowledge Cutoff

When training data ends

Llama-3.3 Nemotron Super 49B v1 has a documented knowledge cutoff of 2023-12-31, while DeepSeek R1 Zero's cutoff date is not specified.

We can confirm Llama-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B v1

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Higher GPQA score (73.3% vs 66.7%)
NVIDIA
Higher MATH-500 score (96.6% vs 95.9%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Zero
NVIDIA
Llama-3.3 Nemotron Super 49B v1

FAQ

Common questions about DeepSeek R1 Zero vs Llama-3.3 Nemotron Super 49B v1.

Which is better, DeepSeek R1 Zero or Llama-3.3 Nemotron Super 49B v1?

Both models are evenly matched across the benchmarks. DeepSeek R1 Zero is made by DeepSeek and Llama-3.3 Nemotron Super 49B v1 is made by NVIDIA. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Zero compare to Llama-3.3 Nemotron Super 49B v1 in benchmarks?

DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%. Llama-3.3 Nemotron Super 49B v1 scores MATH-500: 96.6%, MT-Bench: 91.7%, MBPP: 91.3%, Arena Hard: 88.3%, BFCL v2: 73.7%.

What are the main differences between DeepSeek R1 Zero and Llama-3.3 Nemotron Super 49B v1?

Key differences include 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-3.3 Nemotron Super 49B v1?

DeepSeek R1 Zero is developed by DeepSeek and Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA.

Related comparisons