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GPT-6 Rosalind vs Llama 3.1 Nemotron 70B Instruct

Comparing GPT-6 Rosalind and Llama 3.1 Nemotron 70B Instruct across benchmarks, pricing, and capabilities.

OpenAI · NVIDIA · Updated for 2026

Which is better?

GPT-6 Rosalind and Llama 3.1 Nemotron 70B Instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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

Choose GPT-6 Rosalind

  • you want the most recent training data — it shipped Oct 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 Rosalind
OpenAI
Llama 3.1 Nemotron 70B Instruct
NVIDIA
Benchmark wins
—
—
Input price
$15.00 / M
— / M
Output price
$75.00 / M
— / M
Context window
—
—

Individual benchmarks

0 reported for GPT-6 Rosalind · 11 for Llama 3.1 Nemotron 70B Instruct

No common benchmarks found

GPT-6 Rosalind 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

Input capabilities

Documented input modalities across available providers

GPT-6 Rosalind supports multimodal inputs, whereas Llama 3.1 Nemotron 70B Instruct does not.

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

GPT-6 Rosalind

Text
Images
Audio
Video

Llama 3.1 Nemotron 70B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Rosalind 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 Rosalind

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 Rosalind was released on 2026-10-30, while Llama 3.1 Nemotron 70B Instruct was released on 2024-10-01.

GPT-6 Rosalind is 25 months newer than Llama 3.1 Nemotron 70B Instruct.

GPT-6 Rosalind

Oct 30, 2026

1 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 Rosalind'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 Rosalind's cutoff date.

GPT-6 Rosalind

—

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 Rosalind and Llama 3.1 Nemotron 70B Instruct side-by-side, then vote on the output you prefer.

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

FAQ

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

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

GPT-6 Rosalind (OpenAI) and Llama 3.1 Nemotron 70B Instruct (NVIDIA) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GPT-6 Rosalind compare to Llama 3.1 Nemotron 70B Instruct in benchmarks?

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 main differences between GPT-6 Rosalind and Llama 3.1 Nemotron 70B Instruct?

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-6 Rosalind and Llama 3.1 Nemotron 70B Instruct?

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

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