Model Comparison
GPT-4o vs Nemotron 3 Super (120B A12B)Which is better in 2026?
Nemotron 3 Super (120B A12B) significantly outperforms across most benchmarks. Nemotron 3 Super (120B A12B) is 21.9x cheaper per token.
Verdict: GPT-4o vs Nemotron 3 Super (120B A12B) — which is better?
GPT-4o (by OpenAI) and Nemotron 3 Super (120B A12B) (by NVIDIA) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
GPT-4o outperforms in 0 benchmarks, while Nemotron 3 Super (120B A12B) is better at 2 benchmarks (GPQA, MMLU-Pro). Nemotron 3 Super (120B A12B) significantly outperforms across most benchmarks.
On price, Nemotron 3 Super (120B A12B) is roughly 21.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Nemotron 3 Super (120B A12B) also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-4o if…
- you want predictable pricing at $2.50/M input and $10.00/M output
Choose Nemotron 3 Super (120B A12B) if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- cost matters — it's about 21.9x cheaper per token
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Mar 2026
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o outperforms in 0 benchmarks, while Nemotron 3 Super (120B A12B) is better at 2 benchmarks (GPQA, MMLU-Pro).
Nemotron 3 Super (120B A12B) significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4o ($2.50/1M tokens) is 25.0x more expensive than Nemotron 3 Super (120B A12B) ($0.10/1M tokens).
For output processing, GPT-4o ($10.00/1M tokens) is 20.0x more expensive than Nemotron 3 Super (120B A12B) ($0.50/1M tokens).
In conclusion, GPT-4o 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
Nemotron 3 Super (120B A12B) accepts 262,144 input tokens compared to GPT-4o's 128,000 tokens. Nemotron 3 Super (120B A12B) can generate longer responses up to 262,144 tokens, while GPT-4o is limited to 4,096 tokens.
Input Capabilities
Supported data types and modalities
GPT-4o supports multimodal inputs, whereas Nemotron 3 Super (120B A12B) does not.
GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4o
Nemotron 3 Super (120B A12B)
License
Usage and distribution terms
GPT-4o 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-4o was released on 2024-05-13, while Nemotron 3 Super (120B A12B) was released on 2026-03-11.
Nemotron 3 Super (120B A12B) is 22 months newer than GPT-4o.
May 13, 2024
2.1 years ago
Mar 11, 2026
3 months ago
1.8yr newerKnowledge Cutoff
When training data ends
Nemotron 3 Super (120B A12B) has a documented knowledge cutoff of 2025-06-01, while GPT-4o's cutoff date is not specified.
We can confirm Nemotron 3 Super (120B A12B)'s training data extends to 2025-06-01, but cannot make a direct comparison without GPT-4o's cutoff date.
—
Jun 2025
Provider Availability
GPT-4o is available from Azure, OpenAI. Nemotron 3 Super (120B A12B) is available from DeepInfra.
GPT-4o
Nemotron 3 Super (120B A12B)
Outputs Comparison
Key Takeaways
GPT-4o
View detailsOpenAI
GPT-4oNemotron 3 Super (120B A12B)Detailed Comparison
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FAQ
Common questions about GPT-4o vs Nemotron 3 Super (120B A12B).