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DeepSeek-V3 0324 vs Llama 3.1 Nemotron 70B Instruct

DeepSeek-V3 0324 leads the LLM Stats Score 13.4 to 0.4.

DeepSeek · NVIDIA · Updated for 2026

Which is better?

DeepSeek-V3 0324 leads the overall LLM Stats Score 13.4 to 0.4, ranking #245 overall.

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

Choose DeepSeek-V3 0324

  • overall performance matters — it scores 13.4 and ranks #245 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Mar 2025

Choose Llama 3.1 Nemotron 70B Instruct

  • you are already invested in the NVIDIA ecosystem

At a glance

The differences that matter most.

DeepSeek-V3 0324
DeepSeek
Llama 3.1 Nemotron 70B Instruct
NVIDIA
Core performance indexes
LLM Stats Score
13.4
#245
0.4
#324
Reasoning
13.6
#235
0.1
#317
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.24 / M
— / M
Output price
$0.90 / M
— / M
Context window
163,840
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V3 0324
Llama 3.1 Nemotron 70B Instruct
Math
15.8#211
7.0#266
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for DeepSeek-V3 0324 · 11 for Llama 3.1 Nemotron 70B Instruct

No common benchmarks found

DeepSeek-V3 0324 and Llama 3.1 Nemotron 70B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

601.0B diff

DeepSeek-V3 0324 has 601.0B more parameters than Llama 3.1 Nemotron 70B Instruct, making it 858.6% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
NVIDIA
Llama 3.1 Nemotron 70B Instruct
70.0Bparameters
671.0B
DeepSeek-V3 0324
70.0B
Llama 3.1 Nemotron 70B Instruct

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 70B Instruct
Input- tokens
Output- tokens
Sun Sep 20 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 70B Instruct 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 70B Instruct

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 70B Instruct was released on 2024-10-01.

DeepSeek-V3 0324 is 6 months newer than Llama 3.1 Nemotron 70B Instruct.

DeepSeek-V3 0324

Mar 25, 2025

1.5 years ago

5mo newer
Llama 3.1 Nemotron 70B Instruct

Oct 1, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron 70B Instruct 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 70B Instruct'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 70B Instruct

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V3 0324 and Llama 3.1 Nemotron 70B Instruct side-by-side, then vote on the output you prefer.

DeepSeek-V3 0324
✓ Preferred
Llama 3.1 Nemotron 70B Instruct
Open in Playground

FAQ

Common questions about DeepSeek-V3 0324 vs Llama 3.1 Nemotron 70B Instruct.

Which is better, DeepSeek-V3 0324 or Llama 3.1 Nemotron 70B Instruct?

DeepSeek-V3 0324 leads the LLM Stats Score 13.4 to 0.4. DeepSeek-V3 0324 is made by DeepSeek and Llama 3.1 Nemotron 70B Instruct 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-V3 0324 compare to Llama 3.1 Nemotron 70B Instruct 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 70B Instruct scores GSM8k: 91.4%, HellaSwag: 85.6%, Winogrande: 84.5%, GSM8K Chat: 81.9%, MMLU Chat: 80.6%.

What are the context window sizes for DeepSeek-V3 0324 and Llama 3.1 Nemotron 70B Instruct?

DeepSeek-V3 0324 supports 164K tokens and Llama 3.1 Nemotron 70B Instruct 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 70B Instruct?

Key differences include LLM Stats Score (13.4 vs 0.4), 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 70B Instruct?

DeepSeek-V3 0324 is developed by DeepSeek and Llama 3.1 Nemotron 70B Instruct is developed by NVIDIA.

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