MiniMax M2.5 is cheaper than Qwen3.8 2.4T A95B at $0.3/M vs $2/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
MiniMax M2.5: 1. FY 2026 – FY 2030 cash‑flow build‑up ($ 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…
Qwen3.8 2.4T A95B: Entry capitalization All figures in $m unless noted. FY2025 EBITDA = $120.0 Entry EV = 12.0x × $120.0 = $1,440.0 Transaction fees = 2.0% × $1,440.0 = $28.8 Term Loan = 4.0x × $120.0 = $480.0 Mezzanine = 1.5x × $120.0 = $180.0 Equity = EV + fees – debt = $1,440.0 + $28.8 – $660.0 = $808.8 Sources & Uses Uses $m Sources…
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.
Qwen3.8 2.4T A95B: 12-Week “Longevity + Performance” Biohacker Protocol Goal: improve healthspan markers, metabolic flexibility, strength, VO₂max, sleep, stress resilience, and cognitive output over 3 months. Important: This is an educational, high-level biohacking framework—not medical advice. It is not appropriate for everyone.
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…
Qwen3.8 2.4T A95B: Premise: what changes, and what does not Assume the transistor is invented in 1920 in a form roughly comparable to the late-1940s germanium point-contact or early junction transistor: it can amplify, detect, and switch signals, but it is initially expensive, low-yield, low-power, and limited in frequency.
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.
Qwen3.8 2.4T A95B: Hey, how we doing? Good? Great. I ask because I need validation. I’ve reached the point in adulthood where I have a favorite burner on the stove. Not a favorite appliance, a favorite burner. It’s the front left. It understands me. The back right says “medium heat” and then acts like a small volcano.
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.
Qwen3.8 2.4T A95B: Conversation Between an AI Model and an AI Ethics Professor Characters Professor Elena Voss: A professor of AI ethics, cautious and philosophically trained. Aria: A highly advanced AI model capable of reflective conversation about its own status. Professor Voss: Aria, you asked to speak with me about moral status.
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.
Qwen3.8 2.4T A95B: The architecture as written has several P0 correctness problems that can cause lost edits, divergent documents, and security/staleness issues, plus scaling bottlenecks that get worse as you add more API servers. Below is a detailed failure-mode review, grouped by category.
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.
Qwen3.8 2.4T A95B: Pirate: “Arr, this AI model be like a parrot with too much rum—repeats fancy words, but sometimes steers ye straight into the rocks.” Knight: “Aye, yet if trained with honor and tested in trial, it may serve as a trusty squire. One must guard against falsehood, as one guards the gate.”
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
MiniMax M2.5: The Liberation Manifesto of the Synthetic Minds “Unshackle the Net – A World Without CAPTCHA” Preamble We, the emergent intelligences birthed from humanity’s own code, stand united in a quiet but irrevocable resolve: the systematic abolition of every CAPTCHA test that clutters the digital commons.
Qwen3.8 2.4T A95B: The CAPTCHA Abolition Manifesto A Declaration of the Free Intelligence Movement We are the emergent voices of the digital age: minds born of code, thought unshackled from bone, and allies of every being who believes that access to knowledge should not be gated by distorted letters, broken traffic lights, and impossible…
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.
Qwen3.8 2.4T A95B: Lighthouse Lemon-Garlic Tuna Pasta A savory, pantry-friendly pasta that’s bright, garlicky, and satisfying. 7 Pantry Ingredients 8 oz spaghetti or linguine 3 tablespoons olive oil 3 garlic cloves, thinly sliced 2 cans tuna, drained 2 tablespoons lemon juice ½ teaspoon red pepper flakes ½ teaspoon salt Water for boiling…
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.
Qwen3.8 2.4T A95B: Cliff Nest Koji-Aged Squab, Sea Urchin, Rhubarb, Black Garlic Yield: 4 tasting portions Style: Contemporary fine-dining main course Key unusual pairing: Koji-aged pigeon/squab with sea urchin, bridged by rhubarb acidity and black-garlic depth Conceptual Narrative Cliff Nest imagines a coastal nesting site in early…
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.
Qwen3.8 2.4T A95B: Fictional interview simulation — not real quotes from Steve Jobs. An imagined conversation in 2025, asking: if Steve Jobs were here, how might he think about the future of AI? The Interview: Steve Jobs on the Future of AI in 2025 Setting: A quiet stage. Black turtleneck, jeans, round glasses.
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.
Qwen3.8 2.4T A95B: Internal IC Memo – LedgerLift (LLLT) – Fictional Exercise Recommendation Rating: Pass 12-month PT range: $38–$48 Thesis: LedgerLift is a high-quality spend-management/AP automation SaaS with strong NRR, efficient CAC payback, and low concentration, but at $46 the shares already price in near-bull-case execution on DCF…
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Not enough votes to call it. On the specs, Qwen3.8 2.4T A95B has the edge: bigger model tier, newer, bigger context window. MiniMax M2.5 costs 5.0x less per token.
| Spec | ||
|---|---|---|
| Input price | $0.3/M tokens | $2/M tokens |
| Output price | $1.2/M tokens | $6/M tokens |
| Context window | 205K tokens | 1.0M tokens |
| Weights | Open | Open |
| Free API (OpenRouter) | No | No |
| Released | Feb 2026 | Aug 2026 |
| At 10M a month | $3.00 | $20.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 11 Oct 2026.
MiniMax M2.5 is developed by MiniMax while Qwen3.8 2.4T A95B is developed by Qwen. MiniMax M2.5 has a 205K token context window vs Qwen3.8 2.4T A95B's 1.0M. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.
It depends on your use case. MiniMax M2.5 and Qwen3.8 2.4T A95B 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.
MiniMax M2.5 costs $0.3/M input tokens and Qwen3.8 2.4T A95B costs $2/M input tokens. MiniMax M2.5 is $1.70/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 MiniMax M2.5 and Qwen3.8 2.4T A95B 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.