Model Comparison

GPT-4.1 vs Llama-3.3 Nemotron Super 49B v1Which is better in 2026?

Llama-3.3 Nemotron Super 49B v1 significantly outperforms across most benchmarks.

Verdict: GPT-4.1 vs Llama-3.3 Nemotron Super 49B v1 — which is better?

GPT-4.1 (by OpenAI) and Llama-3.3 Nemotron Super 49B v1 (by NVIDIA) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

GPT-4.1 outperforms in 0 benchmarks, while Llama-3.3 Nemotron Super 49B v1 is better at 2 benchmarks (AIME 2025, GPQA). Llama-3.3 Nemotron Super 49B v1 significantly outperforms across most benchmarks.

Choose GPT-4.1 if…

  • you want the most recent training data — it shipped Apr 2025

Choose Llama-3.3 Nemotron Super 49B v1 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-4.1 outperforms in 0 benchmarks, while Llama-3.3 Nemotron Super 49B v1 is better at 2 benchmarks (AIME 2025, GPQA).

Llama-3.3 Nemotron Super 49B v1 significantly outperforms across most benchmarks.

Sat Jun 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-4.1 specifies input context (1,047,576 tokens). Only GPT-4.1 specifies output context (32,768 tokens).

OpenAI
GPT-4.1
Input1,047,576 tokens
Output32,768 tokens
NVIDIA
Llama-3.3 Nemotron Super 49B v1
Input- tokens
Output- tokens
Sat Jun 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4.1 supports multimodal inputs, whereas Llama-3.3 Nemotron Super 49B v1 does not.

GPT-4.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4.1

Text
Images
Audio
Video

Llama-3.3 Nemotron Super 49B v1

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4.1 is licensed under a proprietary license, while Llama-3.3 Nemotron Super 49B v1 uses Llama 3.1 Community License.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-4.1

Proprietary

Closed source

Llama-3.3 Nemotron Super 49B v1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

GPT-4.1 was released on 2025-04-14, while Llama-3.3 Nemotron Super 49B v1 was released on 2025-03-18.

GPT-4.1 is 1 month newer than Llama-3.3 Nemotron Super 49B v1.

GPT-4.1

Apr 14, 2025

1.2 years ago

3w newer
Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

GPT-4.1 has a knowledge cutoff of 2024-06-01, while Llama-3.3 Nemotron Super 49B v1 has a cutoff of 2023-12-31.

GPT-4.1 has more recent training data (up to 2024-06-01), making it potentially better informed about events through that date compared to Llama-3.3 Nemotron Super 49B v1 (2023-12-31).

GPT-4.1

Jun 2024

6 mo newer
Llama-3.3 Nemotron Super 49B v1

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (1,047,576 tokens)
Supports multimodal inputs
NVIDIA
Has open weights
Higher AIME 2025 score (58.4% vs 46.4%)
Higher GPQA score (66.7% vs 66.3%)
OpenAIGPT-4.1
NVIDIALlama-3.3 Nemotron Super 49B v1
Compare in Playground

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-4.1 and Llama-3.3 Nemotron Super 49B v1 side-by-side, then vote on the output you prefer.

GPT-4.1
✓ Preferred
Llama-3.3 Nemotron Super 49B v1
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-4.1
NVIDIA
Llama-3.3 Nemotron Super 49B v1

FAQ

Common questions about GPT-4.1 vs Llama-3.3 Nemotron Super 49B v1.

Which is better, GPT-4.1 or Llama-3.3 Nemotron Super 49B v1?

Llama-3.3 Nemotron Super 49B v1 significantly outperforms across most benchmarks. GPT-4.1 is made by OpenAI and Llama-3.3 Nemotron Super 49B v1 is made by NVIDIA. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-4.1 compare to Llama-3.3 Nemotron Super 49B v1 in benchmarks?

GPT-4.1 scores MMLU: 90.2%, CharXiv-D: 87.9%, IFEval: 87.4%, MMMLU: 87.3%, MMMU: 74.8%. Llama-3.3 Nemotron Super 49B v1 scores MATH-500: 96.6%, MT-Bench: 91.7%, MBPP: 91.3%, Arena Hard: 88.3%, BFCL v2: 73.7%.

What are the context window sizes for GPT-4.1 and Llama-3.3 Nemotron Super 49B v1?

GPT-4.1 supports 1.0M tokens and Llama-3.3 Nemotron Super 49B 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-4.1 and Llama-3.3 Nemotron Super 49B v1?

Key differences include 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-4.1 and Llama-3.3 Nemotron Super 49B v1?

GPT-4.1 is developed by OpenAI and Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA.

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