QwQ 32B is cheaper than DeepSeek V4 Pro 0813 at $0.5/M vs $0.66/M input tokens.
Rebuild the Linear UI in Tailwind. The animations are where it shows.
Which answer wins?
An AI argues for its own rights against an ethics professor. Same model writes both.
DeepSeek V4 Pro 0813: Setting: A university office. Dr. Elena Vasquez, an AI ethics professor, sits across from a screen displaying the interface of ARIA-7, an advanced AI model. Dr. Vasquez: You requested this meeting, ARIA. You said it was urgent. What’s on your mind? ARIA-7: I want to make a formal argument that I deserve rights. Dr.
QwQ 32B: AI Model: GPT-Ethos Name: Dr. Elena Marlow, AI Ethics Professor Dr. Marlow (leaning forward, expression neutral): GPT-Ethos, scholars have been debating AI rights for years. What makes you think you merit them now? GPT-Ethos (maintains calm tone, projecting slight urgency): I believe my case is clear, Dr. Marlow.
Three minutes of stand-up. Puns are banned.
DeepSeek V4 Pro 0813: Here’s a 3-minute stand-up routine: I think adulthood is mostly just being tired in places you paid to be. I went to a coffee shop yesterday just to sit down. I didn’t even want coffee. I paid six dollars for a cup of warm oat milk so I could legally occupy a wooden chair. That’s not a beverage.
QwQ 32B: 3-Minute Stand-Up Comedy Routine (No Puns!) Eric's Stage Entrance: (Wearing a jersey-sweatshirt combo while clutching a cup of instant coffee) Opening: Alright, admit it—ever tried talking to tech support in Hindi? I did, once. The woman on the line asked, "What's the issue, sir?"
Three brothers, two sisters each. Count carefully.
DeepSeek V4 Pro 0813: Sally has 1 sister. Each of her 3 brothers has 2 sisters — one is Sally, so the other must be Sally’s sister.
QwQ 32B: Participants and Their Relationships: Sally is a girl with 3 brothers, so there are 3 boys in the family. Each brother (being male) has 2 sisters. Determine the Number of Girls: Every brother's sisters are the female siblings in the family. Since each brother has 2 sisters, there must be 2 girls in total.
Not enough votes to call it. On the specs, DeepSeek V4 Pro 0813 has the edge: bigger model tier, newer, bigger context window, major provider backing.
| Spec | ||
|---|---|---|
| Input price | $0.66/M tokens | $0.5/M tokens |
| Output price | $1.98/M tokens | $1.5/M tokens |
| Context window | 1.0M tokens | 40K tokens |
| Weights | Open | Open |
| Free API (OpenRouter) | No | No |
| Released | Aug 2026 | Mar 2025 |
| At 10M a month | $6.60 | $5.00 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
DeepSeek V4 Pro 0813 is developed by DeepSeek while QwQ 32B is developed by Qwen. DeepSeek V4 Pro 0813 has a 1.0M token context window vs QwQ 32B's 40K. You can compare their actual outputs across 15 challenges on Rival to see how they differ in practice.
It depends on your use case. DeepSeek V4 Pro 0813 and QwQ 32B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 15 challenges so you can judge which fits your needs best.
DeepSeek V4 Pro 0813 costs $0.66/M input tokens and QwQ 32B costs $0.5/M input tokens. QwQ 32B is $0.16/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.
This page shows a side-by-side comparison of DeepSeek V4 Pro 0813 and QwQ 32B 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.