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  5. MiMo-V2.6-ProvsQwen3.8 Max (0902)
Updated Sep 2026

MiMo-V2.6-ProvsQwen3.8 Max (0902)

MiMo-V2.6-Pro is cheaper than Qwen3.8 Max (0902) at $0.435/M vs $2/M input tokens.

MiMo-V2.6-Pro and Qwen3.8 Max (0902) compared across 9 shared prompts
SpecMiMo-V2.6-ProQwen3.8 Max (0902)
Input price$0.435/M tokens$2/M tokens
Output price$0.87/M tokens$6/M tokens
Context window1.0M tokens1.0M tokens
Weights—Closed
Free API (OpenRouter)NoNo
ReleasedSep 2026Sep 2026
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
Qwen3.8 Max (0902)230 words
🍯 Midnight Crispy Chickpea Bowl A sweet-savory, crispy rice bowl that comes together faster than delivery. Ingredients (7) # Ingredient Amount 1 Canned chickpeas (drained & patted dry) 1 can (15 oz) 2 Soy sauce 3 tbsp 3 Honey 2 tbsp 4 Garlic (minced) 3 cloves 5 Vegetable oil 2 tbsp 6 Instant or leftover cooked rice 2…
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
Qwen3.8 Max (0902)1,046 words
For the Experienced Software Engineer Think of an LLM as a lossy compression function trained on a massive corpus. During training, you're essentially building a statistical model of "given this sequence of tokens, what's the probability distribution over the next token?"
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
Qwen3.8 Max (0902)536 words
The 30-Day Foundation Plan Core principle: Don't overhaul your life. Layer small wins that compound. 🏃 Area 1: Movement The goal isn't fitness. It's making your body a place you want to live in. Week 1 — Build the trigger Walk 15 minutes daily (same time each day to build the habit) No gym. No gear.
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
Qwen3.8 Max (0902)582 words
The 3 Weakest Claims in the MindMeld AI Pitch The TAM Claim: "$180B" (Slide 4) Why it's weak: This is a textbook case of TAM inflation that immediately undermines credibility with any experienced investor.
Read the full answer
Our Verdict
MiMo-V2.6-Pro
MiMo-V2.6-Pro
Qwen3.8 Max (0902)
Qwen3.8 Max (0902)

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

MiMo-V2.6-Pro costs 6.9x less per token.

Too close to call
API pricing

Cost per 1M tokens

MiMo-V2.6-Pro
Input
$0.43
4.6× cheaper
Output
$0.87
6.9× cheaper
Qwen3.8 Max (0902)
Input
$2.00
Output
$6.00

MiMo-V2.6-Pro is cheaper on both: 4.6× input, 6.9× output.

Where to run it

3 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
Qwen3.8 Max (0902)1 host
HostInOutContextUptime
Alibaba Cloud$2.00 in·$6.00 out·1M·100% up

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 Qwen3.8 Max (0902) is developed by Qwen. MiMo-V2.6-Pro has a 1.0M token context window vs Qwen3.8 Max (0902)'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 Qwen3.8 Max (0902) 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 Qwen3.8 Max (0902) costs $2/M input tokens. MiMo-V2.6-Pro is $1.56/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 Qwen3.8 Max (0902) 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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Same lab, same size, long tail

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Model pages

MiMo-V2.6-Pro logo
MiMo-V2.6-Pro9 outputs, specs and price
Qwen3.8 Max (0902) logo
Qwen3.8 Max (0902)10 outputs, specs and price
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