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GPT-6.1 Terra vs Llama-3.3 Nemotron Super 49B v1

GPT-6.1 Terra leads the LLM Stats Score 47.5 to 12.6.

OpenAI · NVIDIA · Updated for 2026

Which is better?

GPT-6.1 Terra leads the overall LLM Stats Score 47.5 to 12.6, ranking #36 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 47.5 and ranks #36 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-3.3 Nemotron Super 49B v1

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-6.1 Terra
OpenAI
Llama-3.3 Nemotron Super 49B v1
NVIDIA
Core performance indexes
LLM Stats Score
47.5
#36
12.6
#282
Reasoning
49.0
#19
12.7
#273
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 · 7 for Llama-3.3 Nemotron Super 49B v1

No common benchmarks found

GPT-6.1 Terra and Llama-3.3 Nemotron Super 49B 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-6.1 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-3.3 Nemotron Super 49B v1
Input- tokens
Output- tokens
Sat Oct 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6.1 Terra supports multimodal inputs, whereas Llama-3.3 Nemotron Super 49B v1 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-3.3 Nemotron Super 49B v1

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6.1 Terra is licensed under a proprietary license, while Llama-3.3 Nemotron Super 49B v1 uses Llama 3.1 Community License.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-6.1 Terra

Proprietary

Closed source

Llama-3.3 Nemotron Super 49B v1

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-3.3 Nemotron Super 49B v1 was released on 2025-03-18.

GPT-6.1 Terra is 20 months newer than Llama-3.3 Nemotron Super 49B v1.

GPT-6.1 Terra

Oct 26, 2026

4 days ago

1.6yr newer
Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.6 years ago

Knowledge Cutoff

When training data ends

GPT-6.1 Terra has a knowledge cutoff of 2026-06-01, while Llama-3.3 Nemotron Super 49B v1 has a cutoff of 2023-12-31.

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-3.3 Nemotron Super 49B v1 (2023-12-31).

GPT-6.1 Terra

Jun 2026

2.5 yr newer
Llama-3.3 Nemotron Super 49B v1

Dec 2023

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6.1 Terra and Llama-3.3 Nemotron Super 49B v1 side-by-side, then vote on the output you prefer.

GPT-6.1 Terra
✓ Preferred
Llama-3.3 Nemotron Super 49B v1
Open in Playground

FAQ

Common questions about GPT-6.1 Terra vs Llama-3.3 Nemotron Super 49B v1.

Which is better, GPT-6.1 Terra or Llama-3.3 Nemotron Super 49B v1?

GPT-6.1 Terra leads the LLM Stats Score 47.5 to 12.6. GPT-6.1 Terra is made by OpenAI and Llama-3.3 Nemotron Super 49B 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-6.1 Terra compare to Llama-3.3 Nemotron Super 49B v1 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-3.3 Nemotron Super 49B v1 scores MATH-500: 96.6%, MT-Bench: 91.7%, MBPP: 91.3%, Arena Hard: 88.3%, BFCL v2: 73.7%.

What are the context window sizes for GPT-6.1 Terra and Llama-3.3 Nemotron Super 49B v1?

GPT-6.1 Terra supports 1.1M tokens and Llama-3.3 Nemotron Super 49B 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-6.1 Terra and Llama-3.3 Nemotron Super 49B v1?

Key differences include LLM Stats Score (47.5 vs 12.6), 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-3.3 Nemotron Super 49B v1?

GPT-6.1 Terra is developed by OpenAI and Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA.

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