The AI arena is free today

Open Superagent

GPT-6 Cyber vs Llama 3.1 Nemotron Ultra 253B v1

GPT-6 Cyber leads the LLM Stats Score 41.0 to 18.5.

OpenAI · NVIDIA · Updated for 2026

Which is better?

GPT-6 Cyber leads the overall LLM Stats Score 41.0 to 18.5, ranking #77 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-6 Cyber

  • overall performance matters — it scores 41.0 and ranks #77 on LLM Stats
  • your work emphasizes coding — it leads those capability indexes
  • you want the most recent training data — it shipped Nov 2026

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-6 Cyber
OpenAI
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
Core performance indexes
LLM Stats Score
41.0
#77
18.5
#247
Coding
33.5
#49
12.3
#177
Cost, coverage & limits
Benchmark wins
—
—
Input price
$20.00 / M
— / M
Output price
$100.00 / M
— / M
Context window
1,050,000
—

Individual benchmarks

1 reported for GPT-6 Cyber · 6 for Llama 3.1 Nemotron Ultra 253B v1

No common benchmarks found

GPT-6 Cyber and Llama 3.1 Nemotron Ultra 253B v1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-6 Cyber specifies input context (1,050,000 tokens). Only GPT-6 Cyber specifies output context (128,000 tokens).

OpenAI
GPT-6 Cyber
Input1,050,000 tokens
Output128,000 tokens
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1
Input- tokens
Output- tokens
Mon Nov 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Cyber supports multimodal inputs, whereas Llama 3.1 Nemotron Ultra 253B v1 does not.

GPT-6 Cyber can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-6 Cyber

Text
Images
Audio
Video

Llama 3.1 Nemotron Ultra 253B v1

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Cyber 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-6 Cyber

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-6 Cyber was released on 2026-11-05, while Llama 3.1 Nemotron Ultra 253B v1 was released on 2025-04-07.

GPT-6 Cyber is 19 months newer than Llama 3.1 Nemotron Ultra 253B v1.

GPT-6 Cyber

Nov 5, 2026

3 days ago

1.6yr newer
Llama 3.1 Nemotron Ultra 253B v1

Apr 7, 2025

1.6 years ago

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron Ultra 253B v1 has a documented knowledge cutoff of 2023-12-01, while GPT-6 Cyber's cutoff date is not specified.

We can confirm Llama 3.1 Nemotron Ultra 253B v1's training data extends to 2023-12-01, but cannot make a direct comparison without GPT-6 Cyber's cutoff date.

GPT-6 Cyber

—

Llama 3.1 Nemotron Ultra 253B v1

Dec 2023

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6 Cyber and Llama 3.1 Nemotron Ultra 253B v1 side-by-side, then vote on the output you prefer.

GPT-6 Cyber
✓ Preferred
Llama 3.1 Nemotron Ultra 253B v1
Open in Playground

FAQ

Common questions about GPT-6 Cyber vs Llama 3.1 Nemotron Ultra 253B v1.

Which is better, GPT-6 Cyber or Llama 3.1 Nemotron Ultra 253B v1?

GPT-6 Cyber leads the LLM Stats Score 41.0 to 18.5. GPT-6 Cyber 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-6 Cyber compare to Llama 3.1 Nemotron Ultra 253B v1 in benchmarks?

GPT-6 Cyber scores ExploitGym: 48.5%. 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-6 Cyber and Llama 3.1 Nemotron Ultra 253B v1?

GPT-6 Cyber supports 1.1M 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-6 Cyber and Llama 3.1 Nemotron Ultra 253B v1?

Key differences include LLM Stats Score (41.0 vs 18.5), 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-6 Cyber and Llama 3.1 Nemotron Ultra 253B v1?

GPT-6 Cyber is developed by OpenAI and Llama 3.1 Nemotron Ultra 253B v1 is developed by NVIDIA.

Related comparisons