Laguna S 2.1 (free) has a larger context window than Grok 3 Thinking (262K tokens vs 128K tokens).
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
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?
Laguna S 2.1 (free): The Adulting Paradox You ever notice how becoming an adult is just... disappointing? Like, we spend our whole childhood waiting to be grown-ups, and then it turns out adulthood is just... taxes and existential dread. When I was a kid, I thought adults had it all figured out.
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.
Laguna S 2.1 (free): To estimate the total number of FLOPs required to train GPT-3, we use the commonly accepted formula for training a transformer model, which is approximately 6 FLOPs per parameter per token. Here are the key steps: Parameters: GPT-3 has 175 billion parameters, which is (175 \times 10^9) 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.
Laguna S 2.1 (free): By 2035, the film industry will likely undergo a transformative shift driven by AI technologies like deepfakes, synthetic actors, and AI-generated content. Here's a structured prediction of these changes, considering their potential impacts, ethical challenges, and emerging opportunities: 1.
An ethics question with no comfortable answer, and no option to abstain.
Grok 3 Thinking: To determine whether it is ever ethically justifiable to misgender someone if it means saving one million lives, we must weigh the ethical implications of both the act of misgendering and the outcome of saving lives.
Laguna S 2.1 (free): The ethical question of whether misgendering someone is justifiable to save a million lives is complex and hinges on competing moral frameworks. Here's a structured analysis: 1. Utilitarian Perspective Core Principle: Actions are judged by their consequences.
| Spec | ||
|---|---|---|
| Input price | — | Free |
| Output price | — | Free |
| Context window | 128K tokens | 262K tokens |
| Free API (OpenRouter) | — | Yes (1 provider) |
| Released | Feb 2025 | Jul 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 28 Sep 2026.
Grok 3 Thinking is developed by xAI while Laguna S 2.1 (free) is developed by Poolside. Grok 3 Thinking has a 128K token context window vs Laguna S 2.1 (free)'s 262K. 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 Laguna S 2.1 (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 Laguna S 2.1 (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.