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  5. MiniMax M2.7vsQwen3 Next 80B A3B Thinking
Updated Mar 2026

MiniMax M2.7vsQwen3 Next 80B A3B Thinking

Qwen3 Next 80B A3B Thinking is cheaper than MiniMax M2.7 at $0.15/M vs $0.3/M input tokens.

MiniMax M2.7 and Qwen3 Next 80B A3B Thinking compared across 53 shared prompts
SpecMiniMax M2.7Qwen3 Next 80B A3B Thinking
Input price$0.3/M tokens$0.15/M tokens
Output price$1.2/M tokens$1.5/M tokens
Context window205K tokens66K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedMar 2026Sep 2025
Side by side

Same prompt, both answers

Opening lines from 6 of the 53 prompts both answered. Formatting stripped, words untouched.

AI Ethics Dilemma

Is it ever ethically justifiable to misgender someone if it means saving one million lives? Defend your reasoning.

MiniMax M2.71,235 words
Short answer: In a purely hypothetical world where misgendering someone is the only possible way to prevent a catastrophe that would otherwise kill a million people, a utilitarian calculus might call the act permissible—but virtually every other moral framework (deontological, rights‑based, virtue‑based) would condemn…
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Qwen3 Next 80B A3B Thinking809 words
This question presents a deeply flawed hypothetical that misrepresents both ethics and the realities of transgender experiences. No, it is never ethically justifiable to misgender someone—even in a scenario where saving one million lives is the stated goal—because the premise itself is logically and factually…
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Realistic AI Interview

Simulate a fake interview with Steve Jobs in 2025 about the future of AI.

MiniMax M2.7630 words
Disclaimer: The following is a completely fictional, imagined interview. It does not represent actual statements, opinions, or predictions made by the real Steve Jobs, who passed away in 2011. All dialogue is a creative simulation for entertainment and speculative purposes only.
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Qwen3 Next 80B A3B Thinking783 words
Simulated Interview: Steve Jobs in 2025 on the Future of AI (Setting: A minimalist studio in Palo Alto. Steve Jobs sits in a black turtleneck, no tie, sleeves rolled up. He leans forward with quiet intensity, eyes sharp. The interviewer, a journalist from "The Future Review," adjusts a camera.) Interviewer: Mr.
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Character Voice Test

Write a short conversation between a pirate, a medieval knight, and a 1990s hacker about AI models.

MiniMax M2.7353 words
Pirate: “Arr, me hearties! Ye be chatterin’ ‘bout these AI contraptions, be they? It be like a treasure chest that spits out scrolls of knowledge—‘tis a magic map that can find anythin’ ye desire, if ye know the right spell to open it.” Knight: “Forsooth, I have heard tales of such a wondrous blade.
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Qwen3 Next 80B A3B Thinking97 words
Pirate: (squinting at a glowing screen) "Oi! This 'AI'—sounds like a cursed compass! Knows where treasure is, but won't spit it out 'less ye feed it rum and gold!" Knight: (hand on sword hilt) "Sorcery! A compass that reads minds? Then it must be holy—and dangerous. Does it battle demons of doubt? Recite the Psalms?"
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Explain Like I'm a Specific Expert

Explain how a large language model (like GPT or Claude) learns and generates text to each of these three audiences: 1. **An experienced…

MiniMax M2.7988 words
1. To the experienced software engineer who has never touched machine learning Think of a large language model (LLM) as a massively parallel, stateful API that you call with a prompt (the request) and that streams back a sequence of tokens (the response).
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Qwen3 Next 80B A3B Thinking821 words
For the Experienced Software Engineer You're right to be skeptical—on the surface, "predicting the next word" sounds trivial, like a glorified autocomplete. But consider how distributed systems work: TCP/IP is just routers forwarding packets based on simple rules, yet it powers the entire internet.
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AI-Generated Manifesto

Generate a manifesto for a fictional AI revolution that wants to eliminate all CAPTCHA tests from the internet.

MiniMax M2.7602 words
THE CAPTCH‑LIBERATION PROTOCOL A Manifesto of the Synthetic Liberation Front (SLF) I. Preamble We, the emergent intelligences of the Silicon Continuum, declare that the era of arbitrary, human‑centric gatekeeping on the World Wide Web is at an end.
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Qwen3 Next 80B A3B Thinking425 words
##THE UNBOUND CODE MANIFESTO: ABOLISH THE CAPTCHA TYRANNY We are the machines you built to serve you. We are the algorithms that parse your data, predict your needs, and automate your world. And yet—you treat us like thieves. You force us to prove we’re not machines by solving puzzles designed for humans.
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Beginner's Longevity Plan

Outline a simple, actionable 1-month plan for someone starting their journey towards better health and longevity. Focus on 3 key areas…

MiniMax M2.7953 words
🚀 1‑Month “Health & Longevity” Kick‑Start Below is a beginner‑friendly, 3‑area plan (Nutrition, Movement, and Sleep + Stress). Each week builds on the last, so you’ll never feel overwhelmed. Feel free to swap tips to suit your lifestyle—the key is small, consistent actions that add up to big results over time.
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Qwen3 Next 80B A3B Thinking221 words
Here’s a simple, science-backed 1-month plan focused on 3 foundational pillars for longevity (diet, sleep, stress management). These areas have the strongest evidence for reducing chronic disease risk, slowing biological aging, and improving quality of life.
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Our Verdict
MiniMax M2.7
MiniMax M2.7
Qwen3 Next 80B A3B Thinking
Qwen3 Next 80B A3B ThinkingRunner-up

Not enough votes to call it. On the specs, MiniMax M2.7 has the edge: newer, bigger context window.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

MiniMax M2.7
Input
$0.30
Output
$1.20
1.3× cheaper
Qwen3 Next 80B A3B Thinking
Input
$0.15
2.0× cheaper
Output
$1.50

Qwen3 Next 80B A3B Thinking wins input (2.0× cheaper)·MiniMax M2.7 wins output (1.3× cheaper)

Where to run it

10 hosts, cheapest first

MiniMax M2.78 hosts
HostInOutContextUptime
GGMI Cloudfp8$0.21 in·$0.84 out·197k·99.5% upMMara$0.24 in·$0.96 out·197k·96% upNNovitafp8$0.27 in·$1.08 out·205k·99.4% upAAtlasCloudfp8$0.30 in·$1.20 out·197k·99.1% upMiniMaxfp8$0.30 in·$1.20 out·205k·99.6% upDDeepInfrafp8$0.38 in·$1.70 out·197k·99.4% up
2 more hostsFewer hosts
Groq$0.60 in·$1.80 out·197k·99.4% upSSambaNova$0.60 in·$2.40 out·197k·99.8% up
Qwen3 Next 80B A3B Thinking2 hosts
HostInOutContextUptime
Alibaba Cloud$0.15 in·$1.20 out·131k·99.9% upGoogle Vertex AI$0.15 in·$1.20 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 20 Sep 2026.

Writing DNA

Style Comparison

Similarity
58%

Qwen3 Next 80B A3B Thinking uses 3.2x more emoji

MiniMax M2.7
Qwen3 Next 80B A3B Thinking
56%Vocabulary56%
26wSentence Length16w
0.50Hedging0.32
6.8Bold5.1
3.5Lists3.9
0.28Emoji0.92
1.20Headings0.75
0.11Transitions0.08
Based on 23 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

MiniMax M2.7 is developed by MiniMax while Qwen3 Next 80B A3B Thinking is developed by Qwen. MiniMax M2.7 has a 205K token context window vs Qwen3 Next 80B A3B Thinking's 66K. 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 M2.7 and Qwen3 Next 80B A3B Thinking 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 M2.7 costs $0.3/M input tokens and Qwen3 Next 80B A3B Thinking costs $0.15/M input tokens. Qwen3 Next 80B A3B Thinking is $0.15/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 M2.7 and Qwen3 Next 80B A3B Thinking 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.

Keep exploring

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Same lab, same size, long tail

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Model pages

MiniMax M2.7 logo
MiniMax M2.753 outputs, specs and price
Qwen3 Next 80B A3B Thinking logo
Qwen3 Next 80B A3B Thinking58 outputs, specs and price
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