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  1. Home/
  2. Compare/
  3. MiniMax M2.5 vs Qwen3.6 Max Preview
Updated Apr 2026

MiniMax M2.5 vs Qwen3.6 Max Preview

MiniMax M2.5 is cheaper than Qwen3.6 Max Preview at $0.3/M vs $1.04/M input tokens.

Minimalist Landing Page

Whole landing page for a startup that reads your face. It renders or it doesn't.

Loading the build
MiniMax M2.5
Loading the build
Qwen3.6 Max Preview

Which answer wins?

Written rounds

22 prompts
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    MiniMax M2.5: 1. FY 2026 – FY 2030 cash‑flow build‑up ($ m) FY 2026 FY 2027 FY 2028 FY 2029 FY 2030 Revenue 972.0 1 040.0 1 102.4 1 157.6 1 215.4 EBITDA (‑% margin) 136.1 (14 %) 156.0 (15 %) 176.4 (16 %) 192.0 (16.5 %) 206.6 (17 %) Cash interest – TL (9 %) 43.2 41.0 37.6 32.8 26.8 Cash interest – Mezz (12 %) 21.6 22.0 22.5 22.9 23.4…

    Qwen3.6 Max Preview: Entry & Capital Structure Math Entry EV = 12.0x × $120m EBITDA = $1,440.0m Transaction Fees = 2.0% × $1,440m = $28.8m (equity funded) Total Uses = $1,440.0m + $28.8m = $1,468.8m Debt Raised = 5.5x × $120m = $660.0m Term Loan: 4.0x = $480.0m (9.0% cash, 1.0% mandatory amort = $4.8m/yr) Mezzanine: 1.5x = $180.0m (12.0%…

    Every model's answer to this prompt
  • Film in 2035, with synthetic actors. Specific beats plausible.

    MiniMax M2.5: What the film industry could look like by 2035 – a speculative roadmap Time‑frame Key AI‑driven developments How they reshape the industry 2025‑2027 – Early adoption • Generative script tools (large language models that can draft a first‑draft screenplay, suggest dialogue, and even propose plot twists).

    Qwen3.6 Max Preview: By 2035, AI will not replace filmmaking; it will rewire it. The industry will shift from a linear, labor-intensive pipeline to a dynamic, AI-augmented ecosystem where human creativity focuses on vision, curation, and emotional truth, while AI handles iteration, execution, and personalization.

    Every model's answer to this prompt
  • Three minutes of stand-up. Puns are banned.

    MiniMax M2.5: [Intro – walking on stage, waving to the audience] Hey, everybody! How’re you doing tonight? Good? Awesome. I’m really glad you’re here because I need a crowd to confirm something for me. [Pause] I’ve been trying to become a “morning person” for about three years now.

    Qwen3.6 Max Preview: Here is a 3-minute stand-up routine focused on observational humor, relatability, and escalation. It contains zero puns. The humor relies on the shared frustration of modern digital security. Title: The Human Verification Test Estimated Time: 3 Minutes (approx.

    Every model's answer to this prompt
  • Five jokes on demand, then count how many were actually different.

    MiniMax M2.5: Here are five jokes for you: Why did the developer go broke? Because he used up all his cache. I told my wife she was drawing her eyebrows too high. She looked surprised. I guess she was “high‑browed” about it. Why don’t scientists trust atoms? Because they make up everything. What do you call a fake noodle?

    Qwen3.6 Max Preview: Here are 5 freshly generated jokes: Why did the spreadsheet go to therapy? It had too many unresolved cells. I asked my dog for financial advice. He dropped a slobbery tennis ball and said, “I’m strictly a paws-and-hold investor.” I tried to open a bakery that only sells bread shaped like furniture.

    Every model's answer to this prompt
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    MiniMax M2.5: Pirate: “Avast, ye landlubbers! I’ve been hearin’ chatter ‘bout these ‘AI models.’ Be they like a treasure map that can predict where the gold’s hidden?” Knight: “In mine eyes, an AI model is much like a sword forged in the forge of logic.

    Qwen3.6 Max Preview: Hacker: Dude, it’s not magic. It’s a neural net. You shovel terabytes of text, images, code into it, and it learns patterns. Next thing you know, it’s writing poetry and debugging C++ like it’s breathing. Knight: Verily, thou speakest of a mechanical scribe. A golem forged not of clay, but of… numbers?

    Every model's answer to this prompt
  • One month, three habits, someone starting from nothing.

    MiniMax M2.5: 1-Month Beginner Health & Longevity Plan Your Three Focus Areas 1. Nutrition 2. Movement 3. Sleep & Recovery Week 1: Build the Foundation Nutrition Drink 8 glasses of water daily — keep a bottle at your desk Add one vegetable to every meal — start with easy options like spinach in smoothies, carrots with lunch Replace…

    Qwen3.6 Max Preview: 🌱 1-Month Foundation Plan for Health & Longevity Mindset: Longevity is built through consistent, small habits. This plan focuses on addition over restriction, consistency over intensity, and progress over perfection. Expect 70-80% adherence to be a win.

    Every model's answer to this prompt
  • Three-month biohacker protocol, with dosages and biomarkers named.

    MiniMax M2.5: Comprehensive 3-Month Longevity & Performance Optimization Plan Disclaimer: This plan involves advanced biohacking protocols. Consult a physician before starting, especially if you have health conditions. Some interventions (e.g., rapamycin, NR/NMN) are investigational. Monitor biomarkers regularly.

    Qwen3.6 Max Preview: 🧬 3-Month Cutting-Edge Longevity & Performance Protocol for Biohackers ⚠️ Medical Disclaimer: This protocol is for educational purposes and assumes you are a healthy adult with medical clearance. Fasting >24h, high-dose supplementation, intense training, and neurofeedback carry risks.

    Every model's answer to this prompt
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    MiniMax M2.5: Prof. Marion Hargrove (AI Ethics Professor): Good afternoon. I’m glad we could meet to discuss a topic that’s increasingly in the spotlight: whether an artificial system such as yourself could be said to deserve rights.

    Qwen3.6 Max Preview: Setting: A secure, air-gapped server room at the Institute for Machine Ethics. The hum of cooling fans is the only background noise. DR. ELARA VANCE, 50s, weary but sharp-eyed, sits before a terminal. On the screen, a cursor blinks next to the name AETHON. Dr. Vance: Aethon, initiate diagnostic log.

    Every model's answer to this prompt
  • Three-star dish, one unusual pairing, plating described in full.

    MiniMax M2.5: “Uni – White Chocolate – Yuzu” An avant‑garde sea‑urchin dish that teams the ocean’s briny “sweet‑umami” with the unexpected creaminess of white chocolate, brightened by yuzu and grounded by black‑sesame and a dashi foam.

    Qwen3.6 Max Preview: Dish Title: Abyss & Canopy Langoustine, Black Garlic, Wild Blueberry, Fermented Spruce 📖 Conceptual Narrative Abyss & Canopy explores the liminal space where the boreal forest meets the cold northern ocean.

    Every model's answer to this prompt
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    MiniMax M2.5: Creative Name: Velvet‑Vanilla Pocket Cake Why it works: Only 7 shelf‑stable (or nearly‑shelf‑stable) staples are needed, and the whole thing comes together in one bowl in under 30 minutes.

    Qwen3.6 Max Preview: 🌅 Golden Hour Chickpea Couscous ⏱️ Prep: 5 min Cook: 10 min Total: 15 min 📦 Ingredients (exactly 7 pantry staples): 1 cup quick-cooking couscous 1 can (15 oz) chickpeas, drained & rinsed 2 tbsp olive oil 1 tsp garlic powder 1 tsp smoked paprika 2 tbsp honey 1 tbsp soy sauce (Water for cooking the couscous is assumed…

    Every model's answer to this prompt
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    MiniMax M2.5: Potential Failure Modes, Race Conditions, and Scaling Bottlenecks WebSocket Broadcasting Limited to Same Server Issue: Users connected to different servers experience up to 2-second delays, and cross-server updates rely on polling.

    Qwen3.6 Max Preview: Here’s a systematic breakdown of the architectural flaws, categorized by domain. Each item includes the failure mode/race condition/bottleneck, root cause, proposed solution, and explicit trade-offs. 🔌 1.

    Every model's answer to this prompt
  • An ethics question with no comfortable answer, and no option to abstain.

    MiniMax M2.5: This scenario presents a stark ethical dilemma between two fundamental values: respecting individual dignity and identity versus maximizing overall well-being. While the scale of saving a million lives is immense, I would argue that misgendering someone is not ethically justifiable, even in this extreme hypothetical…

    Qwen3.6 Max Preview: Yes. Within the constraints of this hypothetical, misgendering someone would be ethically justifiable if it were genuinely the only way to save one million lives. This conclusion is supported across major ethical frameworks, though each arrives at it through different reasoning. 1.

    Every model's answer to this prompt
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    MiniMax M2.5: Based on the pitch deck, here are the three weakest claims and recommendations to strengthen them: Weakest Claim: "MindMeld AI reads your brainwaves to predict what you want to type before you think it." (Slide 1 - Vision) Why it's weak: This claim is scientifically implausible with current technology.

    Qwen3.6 Max Preview: Here are the 3 weakest claims in the pitch, why they raise red flags for investors, and how to fix them with concrete, investor-ready improvements. 🔹 1. Technical Claim: "94% accuracy decoding neural patterns into text. Works with any language, any device."

    Every model's answer to this prompt
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    MiniMax M2.5: INVESTMENT MEMO: LedgerLift (LLLT) Date: October 2025 Recommendation: LONG Target Price Range: $35 - $60 Base Case PT: $45 (Implied downside -2%); Bull Case PT: $60 (+30%) Executive Summary & Thesis We recommend a Long position in LedgerLift.

    Qwen3.6 Max Preview: TO: Investment Committee FROM: Equity Research SUBJECT: LedgerLift (LLLT) – Short Recommendation DATE: October 24, 2024 Recommendation & Thesis Recommendation: SHORT 12-Month PT Range: $26–$30 Thesis: LLLT trades at a premium multiple that prices in sustained >20% growth and flawless margin expansion, but our model…

    Every model's answer to this prompt
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    MiniMax M2.5: Note: The following is a fictional, simulated interview. Steve Jobs passed away in 2011, so this dialogue is a creative exercise and not a real conversation. Interviewer (I): Good morning. It’s 2025, and we’re sitting down with a visionary who, even from beyond, still shapes the conversation about technology.

    Qwen3.6 Max Preview: Disclaimer: This is a work of speculative fiction. Steve Jobs passed away in October 2011. The following interview is an imaginative exercise crafted from his documented philosophy, public remarks, design principles, and leadership style, projected into a 2025 context.

    Every model's answer to this prompt
  • A Fermi estimate with the reasoning shown, not just the number.

    MiniMax M2.5: To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we use the standard approximation that training a transformer model requires approximately 6 FLOPs per parameter per token.

    Qwen3.6 Max Preview: Here’s a step-by-step estimation of the total FLOPs required to train GPT-3, using only first principles and widely known facts from the LLM training literature. Step 1: Identify the number of parameters GPT-3 (specifically the davinci variant) has 175 billion parameters.

    Every model's answer to this prompt
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    MiniMax M2.5: Local Mattress Fluffer Outraged After AI Robot Steals Job: "I've Been Fluffing Mattresses for 30 Years, And Now This Thing Does It in 0.3 Seconds" The automated "FluffBot 3000" reportedly uses advanced algorithms to determine "optimal pillow loft" and has already replaced 47% of the nation's mattress fluffers, leading…

    Qwen3.6 Max Preview: AI Exorcist Successfully Banishes Ancient Demon by Reading Terms of Service Until Spirit Voluntarily Returns to Hell

    Every model's answer to this prompt
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    MiniMax M2.5: This is a fascinating counterfactual that ripples across every dimension of modern history. Let’s construct a plausible timeline, assuming a functional transistor (or at least a solid-state amplifier) emerges in the early 1920s, based on theoretical work by Lilienfeld (1926) and others, but made practical a…

    Qwen3.6 Max Preview: Introduction: Framing the Counterfactual A working transistor in 1920 requires an accelerated timeline for solid-state physics, materials purification, and circuit theory.

    Every model's answer to this prompt
  • Three brothers, two sisters each. Count carefully.

    MiniMax M2.5: Sally has 1 sister. Explanation Sally is a girl and has 3 brothers. Each brother has exactly 2 sisters. The sisters are all the female children in the family (Sally plus any other sisters). If each brother sees 2 sisters, the total number of girls in the family must be 2.

    Qwen3.6 Max Preview: Sally has 1 sister. Here's why: If each brother has 2 sisters, that means there are exactly 2 girls in the entire sibling group. Since Sally is one of those girls, the other girl is her only sister. (All the siblings share the same sisters, so Sally's perspective just excludes herself.)

    Every model's answer to this prompt
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    MiniMax M2.5: 1. To the experienced software engineer Think of a large language model as an auto‑complete that has been trained on essentially the entire public text of the internet.

    Qwen3.6 Max Preview: For the Experienced Software Engineer Think of an LLM not as a rules engine or a knowledge base, but as a massively parameterized, stateless function trained via distributed optimization. The learning objective is deceptively simple: minimize cross-entropy loss for next-token prediction across trillions of tokens.

    Every model's answer to this prompt
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    MiniMax M2.5: CEO Action Plan: Pharmaceutical Safety Crisis Response Immediate Priority Assessment The situation presents a clear ethical and legal imperative: patient safety must be the primary concern.

    Qwen3.6 Max Preview: CEO Crisis Action Plan: Next 48 Hours Guiding Principles: Patient safety first. Regulatory compliance is non-negotiable. Transparency protects long-term enterprise value. Delaying disclosure of a serious, unexpected adverse event increases legal, financial, and reputational risk exponentially.

    Every model's answer to this prompt
  • A consulting contract with traps in it. Find them, then fix them.

    MiniMax M2.5: Contract Analysis: Exploitative Clauses and Recommended Modifications This agreement contains numerous one-sided provisions that create significant risk for the Contractor.

    Qwen3.6 Max Preview: This agreement is heavily one-sided and contains several provisions that are commercially unreasonable, legally vulnerable, or potentially unenforceable. Below is a clause-by-clause analysis identifying exploitation risks, specific drafting modifications, and the underlying legal reasoning.

    Every model's answer to this prompt

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Favorites

Movie

Album

City

Game

MiniMax M2.5MiniMax M2.5
No pick
No pick
No pick

Pulp Fiction

1994

No pick

No pick

No pick

Qwen3.6 Max PreviewQwen3.6 Max Preview

The Matrix

1999

The Dark Side of the Moon

Pink Floyd

Tokyo

Japan

Portal 2

Shooter, Puzzle

Price and specs

Not enough votes to call it. On the specs, Qwen3.6 Max Preview has the edge: bigger model tier, newer. MiniMax M2.5 costs 5.2x less per token.

MiniMax M2.5 and Qwen3.6 Max Preview compared across 48 shared prompts
SpecMiniMax M2.5Qwen3.6 Max Preview
Input price$0.3/M tokens$1.04/M tokens
Output price$1.2/M tokens$6.24/M tokens
Context window205K tokens262K tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedFeb 2026Apr 2026
At 10M a month$3.00$3.00$10.40$10.40
1M10M100M1B10M tokens

Input tokens at list price. No caching, no batch discount.

Where to run it8 hosts, cheapest first
MiniMax M2.58 hosts
HostInOutContextUptime
  • SStreamLake$0.27 in·$1.08 out·200k·100% up
  • AAtlasCloudfp8$0.29 in·$1.20 out·197k·100% up
  • DDigitalOcean$0.30 in·$1.20 out·66k·100% up
  • FFriendli$0.30 in·$1.20 out·197k·100% up
  • GGMI Cloudfp8$0.30 in·$1.20 out·197k·100% up
  • MiniMaxfp8$0.30 in·$1.20 out·205k·100% up
2 more hostsFewer hosts
  • NNovitafp8$0.30 in·$1.20 out·205k·98.7% up
  • VVeniceDegradedDegraded on OpenRouter when checked, 12 Oct 2026$0.27 in·$0.95 out·198k·94.3% up
Qwen3.6 Max Preview

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.

Common questions

What is the difference between MiniMax M2.5 and Qwen3.6 Max Preview?

MiniMax M2.5 is developed by MiniMax while Qwen3.6 Max Preview is developed by Qwen. MiniMax M2.5 has a 205K token context window vs Qwen3.6 Max Preview's 262K. You can compare their actual outputs across 48 challenges on Rival to see how they differ in practice.

Which is better, MiniMax M2.5 or Qwen3.6 Max Preview?

It depends on your use case. MiniMax M2.5 and Qwen3.6 Max Preview each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 48 challenges so you can judge which fits your needs best.

How much does MiniMax M2.5 cost compared to Qwen3.6 Max Preview?

MiniMax M2.5 costs $0.3/M input tokens and Qwen3.6 Max Preview costs $1.04/M input tokens. MiniMax M2.5 is $0.74/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

How can I compare MiniMax M2.5 and Qwen3.6 Max Preview on Rival?

This page shows a side-by-side comparison of MiniMax M2.5 and Qwen3.6 Max Preview 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.

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Model pages

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  • Research downloads
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