GPT-6.1 Terra vs Nemotron 3 Super (120B A12B)
GPT-6.1 Terra leads the LLM Stats Score 47.6 to 26.1. Nemotron 3 Super (120B A12B) is 12.2x cheaper per token.
OpenAI · NVIDIA · Updated for 2026
Which is better?
GPT-6.1 Terra leads the overall LLM Stats Score 47.6 to 26.1, ranking #37 overall.
On price, Nemotron 3 Super (120B A12B) is roughly 12.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6.1 Terra also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
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 and coding — it leads those capability indexes
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Oct 2026
Choose Nemotron 3 Super (120B A12B)
- cost matters — it's about 12.2x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
9 reported for GPT-6.1 Terra · 23 for Nemotron 3 Super (120B A12B)
GPT-6.1 Terra and Nemotron 3 Super (120B A12B)don'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
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-6.1 Terra ($1.00/1M tokens) is 11.8x more expensive than Nemotron 3 Super (120B A12B) ($0.09/1M tokens).
For output processing, GPT-6.1 Terra ($5.00/1M tokens) is 12.5x more expensive than Nemotron 3 Super (120B A12B) ($0.40/1M tokens).
In conclusion, GPT-6.1 Terra is more expensive than Nemotron 3 Super (120B A12B).*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6.1 Terra accepts 1,050,000 input tokens compared to Nemotron 3 Super (120B A12B)'s 262,144 tokens. Nemotron 3 Super (120B A12B) can generate longer responses up to 262,144 tokens, while GPT-6.1 Terra is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6.1 Terra supports multimodal inputs, whereas Nemotron 3 Super (120B A12B) 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
Nemotron 3 Super (120B A12B)
License
Usage and distribution terms
GPT-6.1 Terra is licensed under a proprietary license, while Nemotron 3 Super (120B A12B) uses NVIDIA Open Model License Agreement .
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
NVIDIA Open Model License Agreement
Open weights
Release Timeline
When each model was launched
GPT-6.1 Terra was released on 2026-10-26, while Nemotron 3 Super (120B A12B) was released on 2026-03-11.
GPT-6.1 Terra is 8 months newer than Nemotron 3 Super (120B A12B).
Oct 26, 2026
1 weeks ago
7mo newerMar 11, 2026
7 months ago
Knowledge Cutoff
When training data ends
GPT-6.1 Terra has a knowledge cutoff of 2026-06-01, while Nemotron 3 Super (120B A12B) has a cutoff of 2025-06-01.
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 Nemotron 3 Super (120B A12B) (2025-06-01).
Jun 2026
1 yr newerJun 2025
Provider Availability
GPT-6.1 Terra is available from OpenAI. Nemotron 3 Super (120B A12B) is available from DeepInfra.
GPT-6.1 Terra
Nemotron 3 Super (120B A12B)
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6.1 Terra and Nemotron 3 Super (120B A12B) side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6.1 Terra vs Nemotron 3 Super (120B A12B).