GPT-6 Sol vs Nemotron 3 Ultra (550B A55B)
GPT-6 Sol leads the LLM Stats Score 49.4 to 36.2. Nemotron 3 Ultra (550B A55B) is 4.3x cheaper per token.
OpenAI · NVIDIA · Updated for 2026
Which is better?
GPT-6 Sol leads the overall LLM Stats Score 49.4 to 36.2, ranking #21 overall.
On price, Nemotron 3 Ultra (550B A55B) is roughly 4.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Sol 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 Sol
- overall performance matters — it scores 49.4 and ranks #21 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 Sep 2026
Choose Nemotron 3 Ultra (550B A55B)
- cost matters — it's about 4.3x 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
5 reported for GPT-6 Sol · 26 for Nemotron 3 Ultra (550B A55B)
GPT-6 Sol and Nemotron 3 Ultra (550B A55B)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 Sol ($2.00/1M tokens) is 4.0x more expensive than Nemotron 3 Ultra (550B A55B) ($0.50/1M tokens).
For output processing, GPT-6 Sol ($10.00/1M tokens) is 4.5x more expensive than Nemotron 3 Ultra (550B A55B) ($2.20/1M tokens).
In conclusion, GPT-6 Sol is more expensive than Nemotron 3 Ultra (550B A55B).*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Sol accepts 1,050,000 input tokens compared to Nemotron 3 Ultra (550B A55B)'s 262,144 tokens. Nemotron 3 Ultra (550B A55B) can generate longer responses up to 262,144 tokens, while GPT-6 Sol is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6 Sol supports multimodal inputs, whereas Nemotron 3 Ultra (550B A55B) 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
Nemotron 3 Ultra (550B A55B)
License
Usage and distribution terms
GPT-6 Sol is licensed under a proprietary license, while Nemotron 3 Ultra (550B A55B) uses OpenMDW License v1.1.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
OpenMDW License v1.1
Open weights
Release Timeline
When each model was launched
GPT-6 Sol was released on 2026-09-22, while Nemotron 3 Ultra (550B A55B) was released on 2026-06-04.
GPT-6 Sol is 4 months newer than Nemotron 3 Ultra (550B A55B).
Sep 22, 2026
0 days ago
3mo newerJun 4, 2026
3 months ago
Knowledge Cutoff
When training data ends
GPT-6 Sol has a knowledge cutoff of 2026-04-20, while Nemotron 3 Ultra (550B A55B) has a cutoff of 2025-09-30.
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 Nemotron 3 Ultra (550B A55B) (2025-09-30).
Apr 2026
7 mo newerSep 2025
Provider Availability
GPT-6 Sol is available from OpenAI. Nemotron 3 Ultra (550B A55B) is available from DeepInfra.
GPT-6 Sol
Nemotron 3 Ultra (550B A55B)
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Sol and Nemotron 3 Ultra (550B A55B) side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Sol vs Nemotron 3 Ultra (550B A55B).