Model Comparison

GPT-4 Turbo vs Llama 3.1 Nemotron Nano 8B V1

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

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-4 Turbo 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.

Thu May 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-4 Turbo specifies input context (128,000 tokens). Only GPT-4 Turbo specifies output context (4,096 tokens).

OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
NVIDIA
Llama 3.1 Nemotron Nano 8B V1
Input- tokens
Output- tokens
Thu May 14 2026 • llm-stats.com

License

Usage and distribution terms

GPT-4 Turbo 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 Turbo

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 Turbo was released on 2024-04-09, while Llama 3.1 Nemotron Nano 8B V1 was released on 2025-03-18.

Llama 3.1 Nemotron Nano 8B V1 is 11 months newer than GPT-4 Turbo.

GPT-4 Turbo

Apr 9, 2024

2.1 years ago

Llama 3.1 Nemotron Nano 8B V1

Mar 18, 2025

1.2 years ago

11mo newer

Knowledge Cutoff

When training data ends

Both models have the same knowledge cutoff date of 2023-12-31.

They should have similar awareness of historical events and information up to this date.

GPT-4 Turbo

Dec 2023

Llama 3.1 Nemotron Nano 8B V1

Dec 2023

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (128,000 tokens)
NVIDIA
Has open weights
Higher GPQA score (54.1% vs 48.0%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4 Turbo
NVIDIA
Llama 3.1 Nemotron Nano 8B V1

FAQ

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

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

Llama 3.1 Nemotron Nano 8B V1 significantly outperforms across most benchmarks. GPT-4 Turbo 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 benchmark scores, pricing, and capabilities above.

How does GPT-4 Turbo compare to Llama 3.1 Nemotron Nano 8B V1 in benchmarks?

GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%. 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 Turbo and Llama 3.1 Nemotron Nano 8B V1?

GPT-4 Turbo 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 GPT-4 Turbo and Llama 3.1 Nemotron Nano 8B V1?

Key differences include licensing (Proprietary vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4 Turbo and Llama 3.1 Nemotron Nano 8B V1?

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