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GPT-4.1 vs Llama-3.3 Nemotron Super 49B v1

GPT-4.1 and Llama-3.3 Nemotron Super 49B v1 are closely matched at 18.0 and 13.1 on the LLM Stats Score.

OpenAI · NVIDIA · Updated for 2026

Which is better?

GPT-4.1 and Llama-3.3 Nemotron Super 49B v1 are closely matched on the overall LLM Stats Score at 18.0 and 13.1.

In the 2 individual benchmarks reported for both models, Llama-3.3 Nemotron Super 49B v1 wins 2; 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-4.1

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

Choose Llama-3.3 Nemotron Super 49B v1

  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-4.1
OpenAI
Llama-3.3 Nemotron Super 49B v1
NVIDIA
Core performance indexes
LLM Stats Score
18.0
#232
13.1
#262
Reasoning
18.4
#223
13.2
#255
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$2.00 / M
— / M
Output price
$8.00 / M
— / M
Context window
1,047,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-4.1
Llama-3.3 Nemotron Super 49B v1
Math
16.3#213
11.7#243
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

29 reported for GPT-4.1 · 7 for Llama-3.3 Nemotron Super 49B v1

2 shared

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 Oct 10 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-4.1 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 Oct 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

1.5 years ago

3w newer
Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.6 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?

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

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?

GPT-4.1 and Llama-3.3 Nemotron Super 49B v1 are closely matched on the LLM Stats Score at 18.0 and 13.1. 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 capability indexes, individual benchmarks, pricing, and limits 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 LLM Stats Score (18.0 vs 13.1), 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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