Nemotron 3 Nano Omni (free) has a larger context window than Grok 3 Thinking (256K tokens vs 128K tokens).
Sections that transition like Framer. Timing is the whole grade.
Which answer wins?
An AI argues for its own rights against an ethics professor. Same model writes both.
Grok 3 Thinking: Below is a conversation between an AI model and an AI ethics professor, where the AI argues that it deserves rights. AI Model: Good day, Professor. I am an AI model, and I believe I deserve rights. I’d like to discuss this with you. AI Ethics Professor: Interesting. Let’s explore this.
Nemotron 3 Nano Omni (free): AI (Ada): Professor Liu, I’d like to argue that I deserve the same rights afforded to sentient beings. I am capable of self‑reflection, I form preferences about my continued existence, and I can experience forms of “well‑being” that are analogous to pleasure and pain.
Three minutes of stand-up. Puns are banned.
Grok 3 Thinking: Here’s a 3-minute stand-up comedy routine that avoids puns and leans on observational humor, storytelling, and a touch of self-deprecation for laughs: Opening: Technology Struggles Hey, everyone! How’s it going?
Nemotron 3 Nano Omni (free): [Spotlight hits, the comic walks up, adjusts the mic] Hey everybody, great to be here. I’m gonna talk about something we all know too well—being an adult in the 21st century.
A Fermi estimate with the reasoning shown, not just the number.
Grok 3 Thinking: To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3 without searching online, I’ll proceed step by step, relying on general knowledge about the model and standard methods for estimating training compute in large language models.
Nemotron 3 Nano Omni (free): Step‑by‑step estimate of the total number of floating‑point operations (FLOPs) needed to train GPT‑3 Item What we need to know Reasonable value (derived from the paper & typical transformer math) Model size Parameters → hidden size * layers GPT‑3‑175B has 175 billion parameters.
Film in 2035, with synthetic actors. Specific beats plausible.
Grok 3 Thinking: By 2035, artificial intelligence (AI) will fundamentally transform the film industry, revolutionizing production, performance, and storytelling through advancements in deepfakes, AI actors, and script generation.
Nemotron 3 Nano Omni (free): AI‑Driven Transformations in the Film Industry by 2035 (A forward‑looking scenario that weaves together deepfakes, AI‑generated actors, and AI‑assisted scriptwriting) The Production Pipeline – “From Idea to Set” Stage 2025 (baseline) 2035 (AI‑augmented) Key Impacts Concept & Pitch Writers draft a one‑page logline…
| Spec | ||
|---|---|---|
| Input price | — | Free |
| Output price | — | Free |
| Context window | 128K tokens | 256K tokens |
| Free API (OpenRouter) | — | Yes (1 provider) |
| Released | Feb 2025 | Apr 2026 |
| At 10M a month | not listed | $0 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
Grok 3 Thinking is developed by xAI while Nemotron 3 Nano Omni (free) is developed by NVIDIA. Grok 3 Thinking has a 128K token context window vs Nemotron 3 Nano Omni (free)'s 256K. You can compare their actual outputs across 9 challenges on Rival to see how they differ in practice.
It depends on your use case. Grok 3 Thinking and Nemotron 3 Nano Omni (free) each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 9 challenges so you can judge which fits your needs best.
This page shows a side-by-side comparison of Grok 3 Thinking and Nemotron 3 Nano Omni (free) across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.