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DeepSeek-V3 vs Llama 3.1 Nemotron Nano 8B V1

DeepSeek-V3 leads the LLM Stats Score 15.7 to 5.0.

DeepSeek · NVIDIA · Updated for 2026

Which is better?

DeepSeek-V3 leads the overall LLM Stats Score 15.7 to 5.0, ranking #216 overall.

In the 3 individual benchmarks reported for both models, DeepSeek-V3 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-V3

  • overall performance matters — it scores 15.7 and ranks #216 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 3 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.

DeepSeek-V3
DeepSeek
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
Core performance indexes
LLM Stats Score
15.7
#216
5.0
#289
Reasoning
14.8
#217
5.6
#282
Cost, coverage & limits
Benchmark wins
2 of 3
1 of 3
Input price
$0.27 / M
— / M
Output price
$1.10 / M
— / M
Context window
131,072
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V3
Llama 3.1 Nemotron Nano 8B V1
Math
18.2#175
9.0#248
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for DeepSeek-V3 · 7 for Llama 3.1 Nemotron Nano 8B V1

3 shared

DeepSeek-V3 outperforms in 2 benchmarks (GPQA, IFEval), while Llama 3.1 Nemotron Nano 8B V1 is better at 1 benchmark (MATH-500).

DeepSeek-V3 shows notably better performance in the majority of benchmarks.

Mon Sep 07 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

663.0B diff

DeepSeek-V3 has 663.0B more parameters than Llama 3.1 Nemotron Nano 8B V1, making it 8287.5% larger.

DeepSeek
DeepSeek-V3
671.0Bparameters
NVIDIA
Llama 3.1 Nemotron Nano 8B V1
8.0Bparameters
671.0B
DeepSeek-V3
8.0B
Llama 3.1 Nemotron Nano 8B V1

Context Window

Maximum input and output token capacity

Only DeepSeek-V3 specifies input context (131,072 tokens). Only DeepSeek-V3 specifies output context (131,072 tokens).

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
NVIDIA
Llama 3.1 Nemotron Nano 8B V1
Input- tokens
Output- tokens
Mon Sep 07 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), 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-V3

MIT + Model License (Commercial use allowed)

Open weights

Llama 3.1 Nemotron Nano 8B V1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Llama 3.1 Nemotron Nano 8B V1 was released on 2025-03-18.

Llama 3.1 Nemotron Nano 8B V1 is 3 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.7 years ago

Llama 3.1 Nemotron Nano 8B V1

Mar 18, 2025

1.5 years ago

2mo 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-V3'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-V3's cutoff date.

DeepSeek-V3

—

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-V3 and Llama 3.1 Nemotron Nano 8B V1 side-by-side, then vote on the output you prefer.

DeepSeek-V3
✓ Preferred
Llama 3.1 Nemotron Nano 8B V1
Open in Playground

FAQ

Common questions about DeepSeek-V3 vs Llama 3.1 Nemotron Nano 8B V1.

Which is better, DeepSeek-V3 or Llama 3.1 Nemotron Nano 8B V1?

DeepSeek-V3 leads the LLM Stats Score 15.7 to 5.0. DeepSeek-V3 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-V3 compare to Llama 3.1 Nemotron Nano 8B V1 in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. 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 context window sizes for DeepSeek-V3 and Llama 3.1 Nemotron Nano 8B V1?

DeepSeek-V3 supports 131K tokens and Llama 3.1 Nemotron Nano 8B 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 and Llama 3.1 Nemotron Nano 8B V1?

Key differences include LLM Stats Score (15.7 vs 5.0), 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 and Llama 3.1 Nemotron Nano 8B V1?

DeepSeek-V3 is developed by DeepSeek and Llama 3.1 Nemotron Nano 8B V1 is developed by NVIDIA.

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