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GPT-4 vs Llama 3.1 Nemotron Nano 8B V1

GPT-4 and Llama 3.1 Nemotron Nano 8B V1 are closely matched at 3.0 and 4.8 on the LLM Stats Score.

OpenAI · NVIDIA · Updated for 2026

Which is better?

GPT-4 and Llama 3.1 Nemotron Nano 8B V1 are closely matched on the overall LLM Stats Score at 3.0 and 4.8.

In the 1 individual benchmarks reported for both models, Llama 3.1 Nemotron Nano 8B V1 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 GPT-4

  • you want predictable pricing at $30.00/M input and $60.00/M output

Choose Llama 3.1 Nemotron Nano 8B V1

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • 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
3.0
#316
4.8
#306
3.0
#308
5.3
#301
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$30.00 / M
— / M
Output price
$60.00 / M
— / M
Context window
32,768

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-4
Llama 3.1 Nemotron Nano 8B V1
8.5#259
8.8#258
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for GPT-4 · 7 for Llama 3.1 Nemotron Nano 8B V1

1 shared

GPT-4 outperforms in 0 benchmarks, while Llama 3.1 Nemotron Nano 8B V1 is better at 1 benchmark (GPQA).

Llama 3.1 Nemotron Nano 8B V1 significantly outperforms across most benchmarks.

Wed Sep 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-4 specifies input context (32,768 tokens). Only GPT-4 specifies output context (32,768 tokens).

OpenAI
GPT-4
Input32,768 tokens
Output32,768 tokens
NVIDIA
Llama 3.1 Nemotron Nano 8B V1
Input- tokens
Output- tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-4 supports multimodal inputs, whereas Llama 3.1 Nemotron Nano 8B V1 does not.

GPT-4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4

Text
Images
Audio
Video

Llama 3.1 Nemotron Nano 8B V1

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4 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.

GPT-4

Proprietary

Closed source

Llama 3.1 Nemotron Nano 8B V1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

GPT-4 was released on 2023-06-13, while Llama 3.1 Nemotron Nano 8B V1 was released on 2025-03-18.

Llama 3.1 Nemotron Nano 8B V1 is 21 months newer than GPT-4.

GPT-4

Jun 13, 2023

3.3 years ago

Llama 3.1 Nemotron Nano 8B V1

Mar 18, 2025

1.5 years ago

1.8yr newer

Knowledge Cutoff

When training data ends

GPT-4 has a knowledge cutoff of 2022-12-31, while Llama 3.1 Nemotron Nano 8B V1 has a cutoff of 2023-12-31.

Llama 3.1 Nemotron Nano 8B V1 has more recent training data (up to 2023-12-31), making it potentially better informed about events through that date compared to GPT-4 (2022-12-31).

GPT-4

Dec 2022

Llama 3.1 Nemotron Nano 8B V1

Dec 2023

1 yr newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-4 and Llama 3.1 Nemotron Nano 8B V1 side-by-side, then vote on the output you prefer.

GPT-4
✓ Preferred
Llama 3.1 Nemotron Nano 8B V1
Open in Playground

FAQ

Common questions about GPT-4 vs Llama 3.1 Nemotron Nano 8B V1.

Which is better, GPT-4 or Llama 3.1 Nemotron Nano 8B V1?

GPT-4 and Llama 3.1 Nemotron Nano 8B V1 are closely matched on the LLM Stats Score at 3.0 and 4.8. GPT-4 is made by OpenAI 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 GPT-4 compare to Llama 3.1 Nemotron Nano 8B V1 in benchmarks?

GPT-4 scores AI2 Reasoning Challenge (ARC): 96.3%, HellaSwag: 95.3%, Uniform Bar Exam: 90.0%, SAT Math: 89.0%, LSAT: 88.0%. 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 GPT-4 and Llama 3.1 Nemotron Nano 8B V1?

GPT-4 supports 33K 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 GPT-4 and Llama 3.1 Nemotron Nano 8B V1?

Key differences include LLM Stats Score (3.0 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 GPT-4 and Llama 3.1 Nemotron Nano 8B V1?

GPT-4 is developed by OpenAI and Llama 3.1 Nemotron Nano 8B V1 is developed by NVIDIA.