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Grok-2 vs Llama 3.1 Nemotron Nano 8B V1

Grok-2 and Llama 3.1 Nemotron Nano 8B V1 are closely matched at 11.4 and 4.8 on the LLM Stats Score.

xAI · NVIDIA · Updated for 2026

Which is better?

Grok-2 and Llama 3.1 Nemotron Nano 8B V1 are closely matched on the overall LLM Stats Score at 11.4 and 4.8.

In the 1 individual benchmarks reported for both models, Grok-2 wins 1; 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 Grok-2

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

Choose Llama 3.1 Nemotron Nano 8B V1

  • you want the most recent training data — it shipped Mar 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
11.4
#262
4.8
#304
11.4
#259
5.3
#299
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$2.00 / M
— / M
Output price
$10.00 / M
— / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Grok-2
Llama 3.1 Nemotron Nano 8B V1
18.2#184
8.8#258
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for Grok-2 · 7 for Llama 3.1 Nemotron Nano 8B V1

1 shared

Grok-2 outperforms in 1 benchmarks (GPQA), while Llama 3.1 Nemotron Nano 8B V1 is better at 0 benchmarks.

Grok-2 significantly outperforms across most benchmarks.

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Grok-2 specifies input context (128,000 tokens). Only Grok-2 specifies output context (8,000 tokens).

xAI
Grok-2
Input128,000 tokens
Output8,000 tokens
NVIDIA
Llama 3.1 Nemotron Nano 8B V1
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Grok-2 supports multimodal inputs, whereas Llama 3.1 Nemotron Nano 8B V1 does not.

Grok-2 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Grok-2

Text
Images
Audio
Video

Llama 3.1 Nemotron Nano 8B V1

Text
Images
Audio
Video

License

Usage and distribution terms

Grok-2 is licensed under a proprietary license, 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.

Grok-2

Proprietary

Closed source

Llama 3.1 Nemotron Nano 8B V1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

Grok-2 was released on 2024-08-13, while Llama 3.1 Nemotron Nano 8B V1 was released on 2025-03-18.

Llama 3.1 Nemotron Nano 8B V1 is 7 months newer than Grok-2.

Grok-2

Aug 13, 2024

2.1 years ago

Llama 3.1 Nemotron Nano 8B V1

Mar 18, 2025

1.5 years ago

7mo newer

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron Nano 8B V1 has a documented knowledge cutoff of 2023-12-31, while Grok-2'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 Grok-2's cutoff date.

Grok-2

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 Grok-2 and Llama 3.1 Nemotron Nano 8B V1 side-by-side, then vote on the output you prefer.

Grok-2
✓ Preferred
Llama 3.1 Nemotron Nano 8B V1
Open in Playground

FAQ

Common questions about Grok-2 vs Llama 3.1 Nemotron Nano 8B V1.

Which is better, Grok-2 or Llama 3.1 Nemotron Nano 8B V1?

Grok-2 and Llama 3.1 Nemotron Nano 8B V1 are closely matched on the LLM Stats Score at 11.4 and 4.8. Grok-2 is made by xAI 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 Grok-2 compare to Llama 3.1 Nemotron Nano 8B V1 in benchmarks?

Grok-2 scores DocVQA: 93.6%, HumanEval: 88.4%, MMLU: 87.5%, MATH: 76.1%, MMLU-Pro: 75.5%. 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 Grok-2 and Llama 3.1 Nemotron Nano 8B V1?

Grok-2 supports 128K 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 Grok-2 and Llama 3.1 Nemotron Nano 8B V1?

Key differences include LLM Stats Score (11.4 vs 4.8), multimodal support (yes vs no), licensing (Proprietary vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok-2 and Llama 3.1 Nemotron Nano 8B V1?

Grok-2 is developed by xAI and Llama 3.1 Nemotron Nano 8B V1 is developed by NVIDIA.