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GPT-6 Sol vs Llama 3.1 Nemotron 70B Instruct

GPT-6 Sol leads the LLM Stats Score 49.4 to 0.4.

OpenAI · NVIDIA · Updated for 2026

Which is better?

GPT-6 Sol leads the overall LLM Stats Score 49.4 to 0.4, ranking #21 overall.

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

Choose GPT-6 Sol

  • overall performance matters — it scores 49.4 and ranks #21 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 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 Sol
OpenAI
Llama 3.1 Nemotron 70B Instruct
NVIDIA
Core performance indexes
LLM Stats Score
49.4
#21
0.4
#330
Reasoning
45.6
#29
0.1
#323
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
— / M
Output price
$10.00 / M
— / M
Context window
1,050,000
—

Individual benchmarks

5 reported for GPT-6 Sol · 11 for Llama 3.1 Nemotron 70B Instruct

No common benchmarks found

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

OpenAI
GPT-6 Sol
Input1,050,000 tokens
Output128,000 tokens
NVIDIA
Llama 3.1 Nemotron 70B Instruct
Input- tokens
Output- tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

GPT-6 Sol

Text
Images
Audio
Video

Llama 3.1 Nemotron 70B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Sol 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 Sol

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 Sol was released on 2026-09-22, while Llama 3.1 Nemotron 70B Instruct was released on 2024-10-01.

GPT-6 Sol is 24 months newer than Llama 3.1 Nemotron 70B Instruct.

GPT-6 Sol

Sep 22, 2026

0 days ago

2.0yr newer
Llama 3.1 Nemotron 70B Instruct

Oct 1, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

GPT-6 Sol has a knowledge cutoff of 2026-04-20, while Llama 3.1 Nemotron 70B Instruct has a cutoff of 2023-12-01.

GPT-6 Sol has more recent training data (up to 2026-04-20), making it potentially better informed about events through that date compared to Llama 3.1 Nemotron 70B Instruct (2023-12-01).

GPT-6 Sol

Apr 2026

2.3 yr newer
Llama 3.1 Nemotron 70B Instruct

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-6 Sol and Llama 3.1 Nemotron 70B Instruct side-by-side, then vote on the output you prefer.

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

FAQ

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

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

GPT-6 Sol leads the LLM Stats Score 49.4 to 0.4. GPT-6 Sol 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 Sol compare to Llama 3.1 Nemotron 70B Instruct in benchmarks?

GPT-6 Sol scores DeepSWE 1.1: 68.8%, OSWorld 2.0: 64.4%, Agents' Last Exam: 56.4%, FrontierCode 1.1: 49.3%, AutomationBench v1.0.6: 33.2%. 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 Sol and Llama 3.1 Nemotron 70B Instruct?

GPT-6 Sol 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 Sol and Llama 3.1 Nemotron 70B Instruct?

Key differences include LLM Stats Score (49.4 vs 0.4), 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 Sol and Llama 3.1 Nemotron 70B Instruct?

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

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