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DeepSeek R1 Zero vs Llama-3.3 Nemotron Super 49B v1

DeepSeek R1 Zero and Llama-3.3 Nemotron Super 49B v1 are closely matched at 16.0 and 13.1 on the LLM Stats Score.

DeepSeek · NVIDIA · Updated for 2026

Which is better?

DeepSeek R1 Zero and Llama-3.3 Nemotron Super 49B v1 are closely matched on the overall LLM Stats Score at 16.0 and 13.1.

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 Zero

  • you are already invested in the DeepSeek ecosystem

Choose Llama-3.3 Nemotron Super 49B v1

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

At a glance

The differences that matter most.

DeepSeek R1 Zero
DeepSeek
Llama-3.3 Nemotron Super 49B v1
NVIDIA
Core performance indexes
LLM Stats Score
16.0
#234
13.1
#254
Reasoning
16.3
#224
13.2
#247
Cost, coverage & limits
Benchmark wins
1 of 2
1 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-3.3 Nemotron Super 49B v1
Math
17.5#196
11.7#239
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Zero · 7 for Llama-3.3 Nemotron Super 49B v1

2 shared

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.

Tue Oct 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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

1.7 years ago

Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.6 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?

Judge for yourself.

Run your own prompts against DeepSeek R1 Zero and Llama-3.3 Nemotron Super 49B v1 side-by-side, then vote on the output you prefer.

DeepSeek R1 Zero
✓ Preferred
Llama-3.3 Nemotron Super 49B v1
Open in Playground

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?

DeepSeek R1 Zero and Llama-3.3 Nemotron Super 49B v1 are closely matched on the LLM Stats Score at 16.0 and 13.1. 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 capability indexes, individual benchmarks, pricing, and limits 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 LLM Stats Score (16.0 vs 13.1), 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.

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