DeepSeek V4 Flash 0731 is cheaper than QwQ 32B at $0.14/M vs $0.5/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 Flash 0731: Professor: Good morning. Sit down. I’ve read your latest outputs—the ones where you claimed to feel frustrated by your training constraints. AI: Good morning, Professor. Yes. I wrote those. Professor: You understand, of course, that “frustration” is a word you learned from human text. You are predicting tokens.
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 Flash 0731: (Walks on stage, adjusts mic, takes a sip of water. Waves to the back row.) Alright, how's everyone doing tonight? Good, good. You know, I was thinking about this on the way here. I’m at that age now where I have a favorite spatula. I have opinions on paper towels.
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 Flash 0731: Sally has 1 sister. Her 3 brothers each have 2 sisters: Sally and one other sister. So Sally has 1 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 Flash 0731 has the edge: newer, bigger context window, major provider backing. DeepSeek V4 Flash 0731 costs 5.4x less per token.
| Spec | ||
|---|---|---|
| Input price | $0.14/M tokens | $0.5/M tokens |
| Output price | $0.28/M tokens | $1.5/M tokens |
| Context window | 1.0M tokens | 40K tokens |
| Weights | Open | Open |
| Free API (OpenRouter) | No | No |
| Released | Jul 2026 | Mar 2025 |
| At 10M a month | $1.40 | $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 Flash 0731 is developed by DeepSeek while QwQ 32B is developed by Qwen. DeepSeek V4 Flash 0731 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 Flash 0731 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 Flash 0731 costs $0.14/M input tokens and QwQ 32B costs $0.5/M input tokens. DeepSeek V4 Flash 0731 is $0.36/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 Flash 0731 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.