Model Comparison

DeepSeek-V3 0324 vs Llama 3.1 Nemotron Ultra 253B v1Which is better in 2026?

Llama 3.1 Nemotron Ultra 253B v1 significantly outperforms across most benchmarks.

Verdict: DeepSeek-V3 0324 vs Llama 3.1 Nemotron Ultra 253B v1 — which is better?

DeepSeek-V3 0324 (by DeepSeek) and Llama 3.1 Nemotron Ultra 253B 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-V3 0324 outperforms in 0 benchmarks, while Llama 3.1 Nemotron Ultra 253B v1 is better at 3 benchmarks (GPQA, LiveCodeBench, MATH-500). Llama 3.1 Nemotron Ultra 253B v1 significantly outperforms across most benchmarks.

Choose DeepSeek-V3 0324 if…

  • you want predictable pricing at $0.28/M input and $1.14/M output

Choose Llama 3.1 Nemotron Ultra 253B v1 if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Apr 2025

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-V3 0324 outperforms in 0 benchmarks, while Llama 3.1 Nemotron Ultra 253B v1 is better at 3 benchmarks (GPQA, LiveCodeBench, MATH-500).

Llama 3.1 Nemotron Ultra 253B v1 significantly outperforms across most benchmarks.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

418.0B diff

DeepSeek-V3 0324 has 418.0B more parameters than Llama 3.1 Nemotron Ultra 253B v1, making it 165.2% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1
253.0Bparameters
671.0B
DeepSeek-V3 0324
253.0B
Llama 3.1 Nemotron Ultra 253B v1

Context Window

Maximum input and output token capacity

Only DeepSeek-V3 0324 specifies input context (163,840 tokens). Only DeepSeek-V3 0324 specifies output context (163,840 tokens).

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1
Input- tokens
Output- tokens
Sat Jun 13 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while Llama 3.1 Nemotron Ultra 253B v1 uses Llama 3.1 Community License.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

Llama 3.1 Nemotron Ultra 253B v1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while Llama 3.1 Nemotron Ultra 253B v1 was released on 2025-04-07.

Llama 3.1 Nemotron Ultra 253B v1 is 0 month newer than DeepSeek-V3 0324.

DeepSeek-V3 0324

Mar 25, 2025

1.2 years ago

Llama 3.1 Nemotron Ultra 253B v1

Apr 7, 2025

1.2 years ago

1w newer

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron Ultra 253B v1 has a documented knowledge cutoff of 2023-12-01, while DeepSeek-V3 0324's cutoff date is not specified.

We can confirm Llama 3.1 Nemotron Ultra 253B v1's training data extends to 2023-12-01, but cannot make a direct comparison without DeepSeek-V3 0324's cutoff date.

DeepSeek-V3 0324

Llama 3.1 Nemotron Ultra 253B v1

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (163,840 tokens)
Higher GPQA score (76.0% vs 68.4%)
Higher LiveCodeBench score (66.3% vs 49.2%)
Higher MATH-500 score (97.0% vs 94.0%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3 0324
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1

FAQ

Common questions about DeepSeek-V3 0324 vs Llama 3.1 Nemotron Ultra 253B v1.

Which is better, DeepSeek-V3 0324 or Llama 3.1 Nemotron Ultra 253B v1?

Llama 3.1 Nemotron Ultra 253B v1 significantly outperforms across most benchmarks. DeepSeek-V3 0324 is made by DeepSeek and Llama 3.1 Nemotron Ultra 253B v1 is made by NVIDIA. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3 0324 compare to Llama 3.1 Nemotron Ultra 253B v1 in benchmarks?

DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. Llama 3.1 Nemotron Ultra 253B v1 scores MATH-500: 97.0%, IFEval: 89.5%, GPQA: 76.0%, BFCL v2: 74.1%, AIME 2025: 72.5%.

What are the context window sizes for DeepSeek-V3 0324 and Llama 3.1 Nemotron Ultra 253B v1?

DeepSeek-V3 0324 supports 164K tokens and Llama 3.1 Nemotron Ultra 253B 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-V3 0324 and Llama 3.1 Nemotron Ultra 253B v1?

Key differences include licensing (MIT + Model License (Commercial use allowed) vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 0324 and Llama 3.1 Nemotron Ultra 253B v1?

DeepSeek-V3 0324 is developed by DeepSeek and Llama 3.1 Nemotron Ultra 253B v1 is developed by NVIDIA.