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GPT-6.1 Terra vs Llama 3.1 Nemotron 70B Instruct

GPT-6.1 Terra leads the LLM Stats Score 47.6 to -0.1.

OpenAI · NVIDIA · Updated for 2026

Which is better?

GPT-6.1 Terra leads the overall LLM Stats Score 47.6 to -0.1, ranking #37 overall.

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

Choose GPT-6.1 Terra

  • overall performance matters — it scores 47.6 and ranks #37 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • 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.

Core performance indexes
47.6
#37
-0.1
#365
49.1
#18
-0.4
#358
Cost, coverage & limits
Benchmark wins
—
—
Input price
$1.00 / M
— / M
Output price
$5.00 / M
— / M
Context window
1,050,000
—

Individual benchmarks

8 reported for GPT-6.1 Terra · 11 for Llama 3.1 Nemotron 70B Instruct

No common benchmarks found

GPT-6.1 Terra 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-6.1 Terra specifies input context (1,050,000 tokens). Only GPT-6.1 Terra specifies output context (128,000 tokens).

OpenAI
GPT-6.1 Terra
Input1,050,000 tokens
Output128,000 tokens
NVIDIA
Llama 3.1 Nemotron 70B Instruct
Input- tokens
Output- tokens
Tue Nov 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6.1 Terra supports multimodal inputs, whereas Llama 3.1 Nemotron 70B Instruct does not.

GPT-6.1 Terra can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-6.1 Terra

Text
Images
Audio
Video

Llama 3.1 Nemotron 70B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6.1 Terra 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-6.1 Terra

Proprietary

Closed source

Llama 3.1 Nemotron 70B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

GPT-6.1 Terra was released on 2026-10-26, while Llama 3.1 Nemotron 70B Instruct was released on 2024-10-01.

GPT-6.1 Terra is 25 months newer than Llama 3.1 Nemotron 70B Instruct.

GPT-6.1 Terra

Oct 26, 2026

6 days ago

2.1yr newer
Llama 3.1 Nemotron 70B Instruct

Oct 1, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

GPT-6.1 Terra has a knowledge cutoff of 2026-06-01, while Llama 3.1 Nemotron 70B Instruct has a cutoff of 2023-12-01.

GPT-6.1 Terra has more recent training data (up to 2026-06-01), making it potentially better informed about events through that date compared to Llama 3.1 Nemotron 70B Instruct (2023-12-01).

GPT-6.1 Terra

Jun 2026

2.5 yr newer
Llama 3.1 Nemotron 70B Instruct

Dec 2023

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6.1 Terra and Llama 3.1 Nemotron 70B Instruct side-by-side, then vote on the output you prefer.

GPT-6.1 Terra
✓ Preferred
Llama 3.1 Nemotron 70B Instruct
Open in Playground

FAQ

Common questions about GPT-6.1 Terra vs Llama 3.1 Nemotron 70B Instruct.

Which is better, GPT-6.1 Terra or Llama 3.1 Nemotron 70B Instruct?

GPT-6.1 Terra leads the LLM Stats Score 47.6 to -0.1. GPT-6.1 Terra 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-6.1 Terra compare to Llama 3.1 Nemotron 70B Instruct in benchmarks?

GPT-6.1 Terra scores HealthBench Consensus: 95.1%, HealthBench Professional: 62.7%, Agents' Last Exam: 60.0%, Terminal-Bench-Science 0.1: 58.3%, MentalHealthBench: 55.5%. 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-6.1 Terra and Llama 3.1 Nemotron 70B Instruct?

GPT-6.1 Terra 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-6.1 Terra and Llama 3.1 Nemotron 70B Instruct?

Key differences include LLM Stats Score (47.6 vs -0.1), 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-6.1 Terra and Llama 3.1 Nemotron 70B Instruct?

GPT-6.1 Terra is developed by OpenAI and Llama 3.1 Nemotron 70B Instruct is developed by NVIDIA.