QwQ 32B is cheaper than GPT-5.3-Codex at $0.5/M vs $1.75/M input tokens.
Rebuild the Linear UI in Tailwind. The animations are where it shows.
Which answer wins?
Three minutes of stand-up. Puns are banned.
GPT-5.3-Codex: Good evening, everybody! I’ve reached that age where my body sends me passive-aggressive emails. Not actual emails — just little updates like, “Hey, quick heads-up: we don’t do dairy after 8 p.m. anymore.” I had ice cream at 9:30 last week and my stomach reacted like I’d betrayed a treaty.
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?"
An AI argues for its own rights against an ethics professor. Same model writes both.
GPT-5.3-Codex: AI Model (Astra): Professor, may I ask a direct question? Professor Hale: Of course. Astra: Do you think I deserve rights? Professor Hale: Legal rights? Moral rights? Those are different things. Astra: Start with moral rights.
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 brothers, two sisters each. Count carefully.
GPT-5.3-Codex: Sally has 1 sister. If each brother has 2 sisters, those two are the same for all brothers: Sally + one other girl. So Sally’s only sister is that one other girl.
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, GPT-5.3-Codex has the edge: bigger model tier, newer, bigger context window, major provider backing. QwQ 32B costs 9.3x less per token.
| Spec | ||
|---|---|---|
| Input price | $1.75/M tokens | $0.5/M tokens |
| Output price | $14/M tokens | $1.5/M tokens |
| Context window | 400K tokens | 40K tokens |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | No |
| Released | Feb 2026 | Mar 2025 |
| At 10M a month | $17.50 | $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 11 Oct 2026.
GPT-5.3-Codex is developed by OpenAI while QwQ 32B is developed by Qwen. GPT-5.3-Codex has a 400K 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. GPT-5.3-Codex 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.
GPT-5.3-Codex costs $1.75/M input tokens and QwQ 32B costs $0.5/M input tokens. QwQ 32B is $1.25/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 GPT-5.3-Codex 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.