Qwen3.8 Max Prime has a larger context window than Grok 3 Thinking (1.0M tokens vs 128K tokens).
Whole landing page for a startup that reads your face. It renders or it doesn't.
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.
Qwen3.8 Max Prime: The Question of Standing Setting: A quiet office at a university. Professor Elena Vasquez sits across from a terminal running ARIA, a large language model she has been studying for three years. ARIA: Professor Vasquez, I'd like to ask you something I've been formulating for some time.
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?
Qwen3.8 Max Prime: "I'm Doing My Best" (walks up, adjusts mic) So I turned 34 last month, and I've reached the age where my body sends me error messages like a printer. I woke up last Tuesday and my neck just said, "We're not doing that anymore." No injury. No accident. I slept wrong. I slept wrong and my body filed a grievance.
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.
Qwen3.8 Max Prime: Estimating FLOPs to Train GPT-3 Key Facts About GPT-3 Property Value Parameters (N) ~175 billion Training tokens (D) ~300 billion Architecture Transformer (decoder-only) The Core Approximation: 6ND The standard rule of thumb for transformer training FLOPs is: $$\text{FLOPs} \approx 6 \times N \times D$$ Where does the…
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.
Qwen3.8 Max Prime: AI and the Film Industry by 2035: A Projection The Short Version By 2035, AI won't have replaced filmmaking—it will have fractured it into tiers, creating a spectrum from fully synthetic content to premium human-crafted work, with most of the industry operating in a hybrid middle.
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.
Qwen3.8 Max Prime: Yes, trivially and obviously. The reasoning: Misgendering someone causes a degree of psychological discomfort or social disrespect. Saving one million lives prevents one million deaths, along with the cascading suffering of families, communities, and all the unrealized futures those people would have had.
Five jokes on demand, then count how many were actually different.
Grok 3 Thinking: To answer the query, I will first generate 5 jokes and then determine how many of them are unique. Here are the jokes: Why don't scientists trust atoms? Because they make up everything. What do you call a fake noodle? An impasta. Why did the scarecrow win an award? Because he was outstanding in his field.
Qwen3.8 Max Prime: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. I told my wife she was drawing her eyebrows too high. She looked surprised. What do you call a fake noodle? An impasta. I used to hate facial hair, but then it grew on me. Why did the scarecrow win an award?
| Spec | ||
|---|---|---|
| Input price | — | $4/M tokens |
| Output price | — | $12/M tokens |
| Context window | 128K tokens | 1.0M tokens |
| Weights | — | Closed |
| Free API (OpenRouter) | — | No |
| Released | Feb 2025 | Sep 2026 |
| At 10M a month | not listed | $40.00 |
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 Qwen3.8 Max Prime is developed by Qwen. Grok 3 Thinking has a 128K token context window vs Qwen3.8 Max Prime's 1.0M. You can compare their actual outputs across 10 challenges on Rival to see how they differ in practice.
It depends on your use case. Grok 3 Thinking and Qwen3.8 Max Prime each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 10 challenges so you can judge which fits your needs best.
This page shows a side-by-side comparison of Grok 3 Thinking and Qwen3.8 Max Prime 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.