The AI arena is free today

Open Superagent

GPT-4 vs Llama 3.1 Nemotron 70B Instruct

GPT-4 and Llama 3.1 Nemotron 70B Instruct are closely matched at 3.0 and 0.4 on the LLM Stats Score.

OpenAI · NVIDIA · Updated for 2026

Which is better?

GPT-4 and Llama 3.1 Nemotron 70B Instruct are closely matched on the overall LLM Stats Score at 3.0 and 0.4.

In the 3 individual benchmarks reported for both models, GPT-4 wins 3; 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 value its reported benchmark strengths — it wins 3 of 3 exact shared results

Choose Llama 3.1 Nemotron 70B Instruct

  • you want the most recent training data — it shipped Oct 2024
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-4
OpenAI
Llama 3.1 Nemotron 70B Instruct
NVIDIA
Core performance indexes
LLM Stats Score
3.0
#318
0.4
#332
Reasoning
3.0
#311
0.1
#325
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
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 70B Instruct
Math
8.5#260
7.0#268
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for GPT-4 · 11 for Llama 3.1 Nemotron 70B Instruct

3 shared

GPT-4 outperforms in 3 benchmarks (HellaSwag, MMLU, Winogrande), while Llama 3.1 Nemotron 70B Instruct is better at 0 benchmarks.

GPT-4 significantly outperforms across most benchmarks.

Thu Oct 01 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 70B Instruct
Input- tokens
Output- tokens
Thu Oct 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-4 supports multimodal inputs, whereas Llama 3.1 Nemotron 70B Instruct 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 70B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4 is licensed under a proprietary license, 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.

GPT-4

Proprietary

Closed source

Llama 3.1 Nemotron 70B Instruct

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

Llama 3.1 Nemotron 70B Instruct is 16 months newer than GPT-4.

GPT-4

Jun 13, 2023

3.3 years ago

Llama 3.1 Nemotron 70B Instruct

Oct 1, 2024

2.0 years ago

1.3yr newer

Knowledge Cutoff

When training data ends

GPT-4 has a knowledge cutoff of 2022-12-31, while Llama 3.1 Nemotron 70B Instruct has a cutoff of 2023-12-01.

Llama 3.1 Nemotron 70B Instruct has more recent training data (up to 2023-12-01), 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 70B Instruct

Dec 2023

1 yr newer

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-4 and Llama 3.1 Nemotron 70B Instruct side-by-side, then vote on the output you prefer.

GPT-4
✓ Preferred
Llama 3.1 Nemotron 70B Instruct
Open in Playground

FAQ

Common questions about GPT-4 vs Llama 3.1 Nemotron 70B Instruct.

Which is better, GPT-4 or Llama 3.1 Nemotron 70B Instruct?

GPT-4 and Llama 3.1 Nemotron 70B Instruct are closely matched on the LLM Stats Score at 3.0 and 0.4. GPT-4 is made by OpenAI 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 GPT-4 compare to Llama 3.1 Nemotron 70B Instruct 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 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 GPT-4 and Llama 3.1 Nemotron 70B Instruct?

GPT-4 supports 33K 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 GPT-4 and Llama 3.1 Nemotron 70B Instruct?

Key differences include LLM Stats Score (3.0 vs 0.4), 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 70B Instruct?

GPT-4 is developed by OpenAI and Llama 3.1 Nemotron 70B Instruct is developed by NVIDIA.

Related comparisons