The AI arena is free today

Open Superagent

GPT-5 mini vs Llama 3.1 Nemotron Ultra 253B v1

GPT-5 mini leads the LLM Stats Score 27.6 to 19.3.

OpenAI · NVIDIA · Updated for 2026

Which is better?

GPT-5 mini leads the overall LLM Stats Score 27.6 to 19.3, ranking #134 overall.

In the 2 individual benchmarks reported for both models, GPT-5 mini 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-5 mini

  • overall performance matters — it scores 27.6 and ranks #134 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Aug 2025

Choose Llama 3.1 Nemotron Ultra 253B v1

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-5 mini
OpenAI
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
Core performance indexes
LLM Stats Score
27.6
#134
19.3
#195
Reasoning
26.9
#133
18.9
#193
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.25 / M
— / M
Output price
$2.00 / M
— / M
Context window
400,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-5 mini
Llama 3.1 Nemotron Ultra 253B v1
Math
25.7#100
15.7#207
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for GPT-5 mini · 6 for Llama 3.1 Nemotron Ultra 253B v1

2 shared

GPT-5 mini outperforms in 2 benchmarks (AIME 2025, GPQA), while Llama 3.1 Nemotron Ultra 253B v1 is better at 0 benchmarks.

GPT-5 mini significantly outperforms across most benchmarks.

Sun Sep 06 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-5 mini specifies input context (400,000 tokens). Only GPT-5 mini specifies output context (128,000 tokens).

OpenAI
GPT-5 mini
Input400,000 tokens
Output128,000 tokens
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1
Input- tokens
Output- tokens
Sun Sep 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-5 mini supports multimodal inputs, whereas Llama 3.1 Nemotron Ultra 253B v1 does not.

GPT-5 mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5 mini

Text
Images
Audio
Video

Llama 3.1 Nemotron Ultra 253B v1

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5 mini is licensed under a proprietary license, while Llama 3.1 Nemotron Ultra 253B v1 uses Llama 3.1 Community License.

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

GPT-5 mini

Proprietary

Closed source

Llama 3.1 Nemotron Ultra 253B v1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

GPT-5 mini was released on 2025-08-07, while Llama 3.1 Nemotron Ultra 253B v1 was released on 2025-04-07.

GPT-5 mini is 4 months newer than Llama 3.1 Nemotron Ultra 253B v1.

GPT-5 mini

Aug 7, 2025

1.1 years ago

4mo newer
Llama 3.1 Nemotron Ultra 253B v1

Apr 7, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

GPT-5 mini has a knowledge cutoff of 2024-05-30, while Llama 3.1 Nemotron Ultra 253B v1 has a cutoff of 2023-12-01.

GPT-5 mini has more recent training data (up to 2024-05-30), making it potentially better informed about events through that date compared to Llama 3.1 Nemotron Ultra 253B v1 (2023-12-01).

GPT-5 mini

May 2024

5 mo newer
Llama 3.1 Nemotron Ultra 253B v1

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-5 mini and Llama 3.1 Nemotron Ultra 253B v1 side-by-side, then vote on the output you prefer.

GPT-5 mini
✓ Preferred
Llama 3.1 Nemotron Ultra 253B v1
Open in Playground

FAQ

Common questions about GPT-5 mini vs Llama 3.1 Nemotron Ultra 253B v1.

Which is better, GPT-5 mini or Llama 3.1 Nemotron Ultra 253B v1?

GPT-5 mini leads the LLM Stats Score 27.6 to 19.3. GPT-5 mini is made by OpenAI and Llama 3.1 Nemotron Ultra 253B 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-5 mini compare to Llama 3.1 Nemotron Ultra 253B v1 in benchmarks?

GPT-5 mini scores AIME 2025: 91.1%, HMMT 2025: 87.8%, GPQA: 82.3%, FrontierMath: 22.1%, Humanity's Last Exam: 16.7%. Llama 3.1 Nemotron Ultra 253B v1 scores MATH-500: 97.0%, IFEval: 89.5%, GPQA: 76.0%, BFCL v2: 74.1%, AIME 2025: 72.5%.

What are the context window sizes for GPT-5 mini and Llama 3.1 Nemotron Ultra 253B v1?

GPT-5 mini supports 400K tokens and Llama 3.1 Nemotron Ultra 253B 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-5 mini and Llama 3.1 Nemotron Ultra 253B v1?

Key differences include LLM Stats Score (27.6 vs 19.3), 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-5 mini and Llama 3.1 Nemotron Ultra 253B v1?

GPT-5 mini is developed by OpenAI and Llama 3.1 Nemotron Ultra 253B v1 is developed by NVIDIA.

Related comparisons