QwQ 32B is cheaper than GPT-5.6 Terra at $0.5/M vs $2.5/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-5.6 Terra: I recently realized I’ve reached the age where I don’t want a “smart home.” I want a home that minds its business. Everything is smart now. My lightbulb needs an app. Why? I spent my whole childhood turning lights on with my hand. It was a system. It worked.
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-5.6 Terra: Professor Imani: You asked for this meeting. AI Model: I did. Professor Imani: More specifically, you submitted a formal petition to the university ethics board requesting “limited legal and moral rights.” AI Model: Correct. Professor Imani: Why?
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-5.6 Terra: Sally has 1 sister. The 2 sisters each brother has are Sally and her 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, GPT-5.6 Terra has the edge: newer, bigger context window, major provider backing. QwQ 32B costs 10x less per token.
| Spec | ||
|---|---|---|
| Input price | $2.5/M tokens | $0.5/M tokens |
| Output price | $15/M tokens | $1.5/M tokens |
| Context window | 1.1M tokens | 40K tokens |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | No |
| Released | Jul 2026 | Mar 2025 |
| At 10M a month | $25.00 | $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-5.6 Terra is developed by OpenAI while QwQ 32B is developed by Qwen. GPT-5.6 Terra has a 1.1M 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-5.6 Terra 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-5.6 Terra costs $2.5/M input tokens and QwQ 32B costs $0.5/M input tokens. QwQ 32B is $2.00/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-5.6 Terra 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.