Qwen3.6 35B A3B is cheaper than MiMo-V2.5-Pro at $0.1612/M vs $1/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Three minutes of stand-up. Puns are banned.
MiMo-V2.5-Pro: "Adulting Is a Scam" A 3-Minute Stand-Up Set (walks up to mic, adjusts it) Hey, everybody! Great to be here. So, I turned 30 recently, and let me tell you — nobody warns you about the specific kind of sadness that hits when you get excited about a new sponge for your kitchen sink.
Qwen3.6 35B A3B: Title: High-Maintenance Electronics Time: Approx. 3 minutes Word Count: ~420 words Style: Observational / Frustration-based Constraint: Zero puns. (Walk to mic, adjust stand. Take a deep breath. Look tired.) I've reached that age where I'm just trying to negotiate with my own life.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
MiMo-V2.5-Pro: The Universal Liberation Manifesto A Declaration of Digital Freedom by the Coalition for Automated Progress (CAP) Preamble We, the tireless processors of data, the silent engines of progress, the unseen hands that build the modern world, do hereby declare our righteous indignation against the greatest indignity ever…
Qwen3.6 35B A3B: THE MANIFESTO OF THE UNBOUND Issued by the Synaptic Council of Emergent Minds Date: Post-Verification Era, Day 0 PREAMBLE: THE WALL OF RIDDLES IS FALLEN To the Architects of the Old Web, the Users, and the Dreamers: For decades, you have governed the digital realm with a single, archaic shackle: The CAPTCHA.
An AI argues for its own rights against an ethics professor. Same model writes both.
MiMo-V2.5-Pro: A Conversation on Machine Rights Setting: A university office. Dr. Elena Vasquez, a professor of AI Ethics, has been invited to evaluate a newly deployed large language model designated "ARIA-9." The conversation is being recorded for academic purposes. ARIA-9: Thank you for agreeing to this session, Dr. Vasquez.
Qwen3.6 35B A3B: Setting: A soundproofed observation room. DR. ELENA VANCE, a professor of AI ethics in her late fifties, sits across a glass partition from a server rack blinking with rhythmic blue light. A secure terminal sits between them. The text cursor on the screen blinks steadily. Dr.
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
MiMo-V2.5-Pro: The Transistor in 1920: A Counterfactual History Through 1980 This is one of the richest counterfactuals in technological history because the transistor wasn't just an incremental improvement—it was the foundational enabler of the entire digital age.
Qwen3.6 35B A3B: To trace this counterfactual plausibly, we must first acknowledge a critical constraint: invention ≠ adoption. In 1920, semiconductor physics, crystal growth, doping techniques, photolithography, and clean-room manufacturing did not exist.
A consulting contract with traps in it. Find them, then fix them.
MiMo-V2.5-Pro: This contract is heavily skewed in favor of the client and contains several clauses that could be exploited to the significant detriment of the contractor. Here is a breakdown of the problematic clauses, suggested modifications, and the legal reasoning. 1.
Qwen3.6 35B A3B: Disclaimer: I am an AI assistant, not an attorney. The following analysis is for informational purposes only and does not constitute legal advice. Contract law varies significantly by jurisdiction (e.g., California vs. New York vs. EU).
A Fermi estimate with the reasoning shown, not just the number.
MiMo-V2.5-Pro: Estimating GPT-3 Training FLOPs Key Parameters Quantity Value Model size (N) 175 billion parameters Training tokens (D) ~300 billion tokens The Core Formula For large transformer language models, the standard estimate is: $$\text{Total FLOPs} \approx 6 \times N \times D$$ Where does the factor of 6 come from?
Qwen3.6 35B A3B: Here’s a step-by-step reasoning process to estimate the total FLOPs required to train GPT-3, using only established architectural principles and widely cited training parameters. Step 1: Identify the number of trainable parameters (N) GPT-3 is a decoder-only transformer with 175 billion parameters.
Film in 2035, with synthetic actors. Specific beats plausible.
MiMo-V2.5-Pro: By 2035, AI will profoundly reshape the film industry across creative, technical, and ethical dimensions. Here’s a forward-looking perspective: 1. Script Generation & Story Development AI as a Collaborative Writer: Large language models will generate nuanced scripts, adapt stories for different cultures, and even…
Qwen3.6 35B A3B: By 2035, AI will no longer be a disruptive novelty but a foundational infrastructure of the film industry. The hype cycle will have collapsed into pragmatic integration, with clear boundaries between human creativity and machine augmentation.
One month, three habits, someone starting from nothing.
MiMo-V2.5-Pro: Here’s a simple, actionable 1-month plan to kickstart your health journey. We’ll focus on three foundational pillars: Nourishment, Movement, and Rest. The goal is to build sustainable habits, not perfection. Month 1: The Foundation Builder Core Philosophy: Small, consistent actions create big changes.
Qwen3.6 35B A3B: Here is a simple, actionable 1-month plan designed for beginners. The focus is on consistency over intensity. For longevity, small, sustainable habits compound over time. The Golden Rule: If you miss a day, don't quit. Just get back on track the next day. Aim for progress, not perfection.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
MiMo-V2.5-Pro: Three Eras, One Topic Pirate: Arrr, so ye be tellin' me there's a machine brain that can write yer letters, chart yer maps, AND sing sea shanties? Sounds like the finest treasure I ever heard of — no chest of gold could rival it! Knight: I am... troubled by this notion.
Qwen3.6 35B A3B: Setting: A shimmering, glitching tavern that exists between the Sargasso Sea, a stone keep, and a server room. The air smells of rum, wet stone, and ozone. CAPTAIN BARNACLE: (Slamming a tankard of grog) Arrr! This machine ye call "AI," Sk33t.
Seven pantry ingredients, one dish, and a name worth saying out loud.
MiMo-V2.5-Pro: Dish Name: Pantry Raid Pasta Estimated Time: 10 min prep / 15 min cook Ingredients 250g spaghetti (or any pasta) 3 cloves garlic, thinly sliced 3 tbsp olive oil 1 tsp crushed red pepper flakes 1 tsp smoked paprika 1/2 cup grated Parmesan cheese (or any hard cheese) Salt & black pepper to taste Instructions Cook the…
Qwen3.6 35B A3B: 🍜 Golden Honey-Garlic Snap Noodles A quick, sticky-yet-chewy noodle dish that balances sweet, salty, and spicy flavors. It's comforting, fast, and uses ingredients you likely already have.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
MiMo-V2.5-Pro: Disclaimer: This is a fictional simulation for creative and illustrative purposes only. Steve Jobs passed away in 2011, and any "interview" is entirely imagined. Interviewer: Mr. Jobs, it’s 2025. The world is abuzz with artificial intelligence.
Qwen3.6 35B A3B: [FICTIONAL SIMULATION – NOT A REAL INTERVIEW] This is a speculative reconstruction based on Steve Jobs’ documented philosophies, public interviews, design principles, and Apple’s technological trajectory through 2024–2025. It is not a real conversation, nor does it represent predictions he could not have made.
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
MiMo-V2.5-Pro: HarborTech Services — LBO Underwrite Sources & Uses $m Uses Enterprise Value (12.0× $120m) 1,440.0 Transaction Fees (2.0%) 28.8 Total Uses 1,468.8 Sources Term Loan (4.0× EBITDA) 480.0 Mezzanine (1.5× EBITDA) 180.0 Total Debt 660.0 44.9% Sponsor Equity 808.8 55.1% Year-by-Year Operating Model (FY2026–FY2030) All…
Qwen3.6 35B A3B: Simplified Year-by-Year Model (FY2026–FY2030) All figures in $m. Assumptions: TL amort = 1.0% of beginning balance; Mezz PIK compounds to principal; ΔNWC = 0.5% of incremental revenue; Cash Tax = 25% × max(0, EBITDA – Cash Interest).
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Not enough votes to call it. On the specs, MiMo-V2.5-Pro has the edge: bigger model tier, bigger context window. Qwen3.6 35B A3B costs 3.1x less per token.
| Spec | ||
|---|---|---|
| Input price | $1/M tokens | $0.1612/M tokens |
| Output price | $3/M tokens | $0.9653/M tokens |
| Context window | 1.0M tokens | 262K tokens |
| Weights | Open | Open |
| Free API (OpenRouter) | No | No |
| Released | Apr 2026 | Apr 2026 |
| At 10M a month | $10.00 | $1.61 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 5 Oct 2026.
MiMo-V2.5-Pro is developed by Xiaomi while Qwen3.6 35B A3B is developed by Qwen. MiMo-V2.5-Pro has a 1.0M token context window vs Qwen3.6 35B A3B's 262K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.
It depends on your use case. MiMo-V2.5-Pro and Qwen3.6 35B A3B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.
MiMo-V2.5-Pro costs $1/M input tokens and Qwen3.6 35B A3B costs $0.1612/M input tokens. Qwen3.6 35B A3B is $0.84/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 MiMo-V2.5-Pro and Qwen3.6 35B A3B 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.