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  5. MiMo-V2.6-ProvsQwen Plus 0728 (thinking)
Updated Sep 2026

MiMo-V2.6-ProvsQwen Plus 0728 (thinking)

Qwen Plus 0728 (thinking) is cheaper than MiMo-V2.6-Pro at $0.4/M vs $0.435/M input tokens.

MiMo-V2.6-Pro and Qwen Plus 0728 (thinking) compared across 9 shared prompts
SpecMiMo-V2.6-ProQwen Plus 0728 (thinking)
Input price$0.435/M tokens$0.4/M tokens
Output price$0.87/M tokens$4/M tokens
Context window1.0M tokens1.0M tokens
Free API (OpenRouter)NoNo
ReleasedSep 2026Sep 2025
Side by side

Same prompt, both answers

Opening lines from 4 of the 9 prompts both answered. Formatting stripped, words untouched.

Simple 7-Ingredient Recipe

Create a simple recipe for a delicious dish (sweet or savory) using only 7 common pantry ingredients. Include a creative name for the dish…

MiMo-V2.6-Pro332 words
🍝 Moonlight Garlic Kiss Pasta A silky, garlicky butter pasta that proves simple ingredients can make something truly unforgettable. 7 Pantry Ingredients # Ingredient Amount 1 Spaghetti (or any pasta) 8 oz (half a standard box) 2 Butter 4 tablespoons 3 Garlic cloves 5 cloves, thinly sliced 4 Parmesan cheese ½ cup…
Read the full answer
Qwen Plus 0728 (thinking)282 words
Crispy Chickpea Pantry Pasta Sweet or savory? Savory with a zesty kick! Total time: 15 minutes Serves: 2 Why it works: Uses pantry staples to create a crunchy, garlicky, umami-packed meal with zero fresh produce needed. The chickpeas get incredibly crispy, and lemon juice (bottled) adds bright freshness.
Read the full answer

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…

MiMo-V2.6-Pro1,338 words
Explaining Large Language Models to Three Audiences For the Software Engineer Think of an LLM as the most lossy, most brilliant compression algorithm ever built — except it's not compressing a specific file, it's compressing the patterns of human language into a fixed set of ~1 trillion floating-point parameters.
Read the full answer
Qwen Plus 0728 (thinking)1,200 words
For the Experienced Software Engineer (Skeptical Builder) Forget "next word prediction" as a simplistic heuristic—it's the emergent consequence of a massively parallel, distributed state machine solving a high-dimensional compression problem.
Read the full answer

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…

MiMo-V2.6-Pro679 words
🌱 Your 1-Month Health & Longevity Starter Plan The 3 Pillars: Move · Nourish · Recover 🏃 MOVE (Exercise) Goal: Build a consistent, sustainable movement habit. Week 1 — Just Show Up Walk for 20 minutes daily (after lunch or dinner works great).
Read the full answer
Qwen Plus 0728 (thinking)854 words
Here’s a simple, actionable 1-month plan designed for absolute beginners. It focuses on diet, movement (exercise), and sleep—the 3 most impactful, science-backed pillars for health and longevity. Each week builds gently on the last, prioritizing tiny, sustainable habits over drastic changes.
Read the full answer

Startup Pitch Teardown

Here's a pitch deck summary for a startup called "MindMeld AI": **Slide 1 - Vision:** "We're building the future of human-AI collaboration.…

MiMo-V2.6-Pro1,037 words
The 3 Weakest Claims in the MindMeld AI Pitch 🔴 "94% accuracy" non-invasive EEG decoding into text — (Slide 3) Why it's weak This is the claim the entire company rests on, and it directly contradicts the published state of the art.
Read the full answer
Qwen Plus 0728 (thinking)644 words
Based on a rigorous analysis of neuroscience, market realities, and startup best practices, here are the 3 weakest claims in the MindMeld AI pitch deck, with evidence-backed critiques and concrete fixes: Weakest Claim #1: Slide 1 Vision – "Predicts what you want to type *before you think it*" Why it's weak: Violates…
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Our Verdict
MiMo-V2.6-Pro
MiMo-V2.6-Pro
Qwen Plus 0728 (thinking)
Qwen Plus 0728 (thinking)

Not enough votes to call it. On the specs, nothing separates them.

MiMo-V2.6-Pro costs 4.6x less per token.

Too close to call
API pricing

Cost per 1M tokens

MiMo-V2.6-Pro
Input
$0.43
Output
$0.87
4.6× cheaper
Qwen Plus 0728 (thinking)
Input
$0.40
1.1× cheaper
Output
$4.00

Qwen Plus 0728 (thinking) wins input (1.1× cheaper)·MiMo-V2.6-Pro wins output (4.6× cheaper)

Where to run it

2 hosts

MiMo-V2.6-Pro2 hosts
HostInOutContextUptime
DDeepInfrafp8$0.43 in·$0.87 out·1M·99.2% upXiaomifp8$0.43 in·$0.87 out·1M·100% up
Qwen Plus 0728 (thinking)

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 23 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

MiMo-V2.6-Pro is developed by Xiaomi while Qwen Plus 0728 (thinking) is developed by Qwen. MiMo-V2.6-Pro has a 1.0M token context window vs Qwen Plus 0728 (thinking)'s 1.0M. You can compare their actual outputs across 9 challenges on Rival to see how they differ in practice.

It depends on your use case. MiMo-V2.6-Pro and Qwen Plus 0728 (thinking) each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 9 challenges so you can judge which fits your needs best.

MiMo-V2.6-Pro costs $0.435/M input tokens and Qwen Plus 0728 (thinking) costs $0.4/M input tokens. Qwen Plus 0728 (thinking) is $0.03/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-V2.6-Pro and Qwen Plus 0728 (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.

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Model pages

MiMo-V2.6-Pro logo
MiMo-V2.6-Pro9 outputs, specs and price
Qwen Plus 0728 (thinking) logo
Qwen Plus 0728 (thinking)37 outputs, specs and price
Rival
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