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GPT-6 Cyber vs Llama 3.1 Nemotron 70B Instruct

GPT-6 Cyber leads the LLM Stats Score 41.0 to -0.2.

OpenAI · NVIDIA · Updated for 2026

Which is better?

GPT-6 Cyber leads the overall LLM Stats Score 41.0 to -0.2, 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
  • you want the most recent training data — it shipped Nov 2026

Choose Llama 3.1 Nemotron 70B Instruct

  • 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 70B Instruct
NVIDIA
Core performance indexes
LLM Stats Score
41.0
#77
-0.2
#367
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 · 11 for Llama 3.1 Nemotron 70B Instruct

No common benchmarks found

GPT-6 Cyber and Llama 3.1 Nemotron 70B Instructdon'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 70B Instruct
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 70B Instruct 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 70B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Cyber 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-6 Cyber

Proprietary

Closed source

Llama 3.1 Nemotron 70B Instruct

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

GPT-6 Cyber is 26 months newer than Llama 3.1 Nemotron 70B Instruct.

GPT-6 Cyber

Nov 5, 2026

3 days ago

2.1yr newer
Llama 3.1 Nemotron 70B Instruct

Oct 1, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron 70B Instruct 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 70B Instruct'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 70B Instruct

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 70B Instruct side-by-side, then vote on the output you prefer.

GPT-6 Cyber
✓ Preferred
Llama 3.1 Nemotron 70B Instruct
Open in Playground

FAQ

Common questions about GPT-6 Cyber vs Llama 3.1 Nemotron 70B Instruct.

Which is better, GPT-6 Cyber or Llama 3.1 Nemotron 70B Instruct?

GPT-6 Cyber leads the LLM Stats Score 41.0 to -0.2. GPT-6 Cyber 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-6 Cyber compare to Llama 3.1 Nemotron 70B Instruct in benchmarks?

GPT-6 Cyber scores ExploitGym: 48.5%. 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-6 Cyber and Llama 3.1 Nemotron 70B Instruct?

GPT-6 Cyber supports 1.1M 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-6 Cyber and Llama 3.1 Nemotron 70B Instruct?

Key differences include LLM Stats Score (41.0 vs -0.2), 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 70B Instruct?

GPT-6 Cyber is developed by OpenAI and Llama 3.1 Nemotron 70B Instruct is developed by NVIDIA.

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