Skip to content
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare Models
  • All Models
  • Image Comparison
  • Audio Comparison
  • Image Generation
  • Best AI For...
  • Arena
  • API Pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model Updates
  • Provider Status
  • AI Creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy Policy
  • Terms
  • RSS Feed
  1. Home
  2. /
  3. Compare
  4. /
  5. MiMo-V2.6-FlashvsQwen3.5 397B A17B
Updated Sep 2026

MiMo-V2.6-FlashvsQwen3.5 397B A17B

MiMo-V2.6-Flash is cheaper than Qwen3.5 397B A17B at $0.14/M vs $0.6/M input tokens.

MiMo-V2.6-Flash and Qwen3.5 397B A17B compared across 10 shared prompts
SpecMiMo-V2.6-FlashQwen3.5 397B A17B
Input price$0.14/M tokens$0.6/M tokens
Output price$0.28/M tokens$3.6/M tokens
Context window1.0M tokens262K tokens
Weights—Open
Free API (OpenRouter)NoNo
ReleasedSep 2026Feb 2026
Side by side

Same prompt, both answers

Opening lines from 5 of the 10 prompts both answered. Formatting stripped, words untouched.

Adversarial Contract Review

Here is a contract for a software consulting engagement: --- SOFTWARE CONSULTING AGREEMENT This Agreement is entered into between TechCorp…

MiMo-V2.6-Flash3,600 words
Analysis of Software Consulting Agreement Overview This agreement is extraordinarily one-sided in favor of Client. Nearly every clause contains provisions that could be exploited against the Contractor. Below is a clause-by-clause analysis with specific suggested modifications.
Read the full answer
Qwen3.5 397B A17B1,220 words
Disclaimer: I am an artificial intelligence, not an attorney. The following analysis is for informational and educational purposes only and does not constitute legal advice or create an attorney-client relationship. Contract laws vary significantly by jurisdiction (e.g., California vs. New York vs. UK).
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-Flash939 words
🌱 Your 1-Month Health & Longevity Starter Plan Philosophy: Don't overhaul everything at once. Build one small habit per week, and let them stack. 📌 The 3 Pillars Nourish — Dietary changes Move — Physical activity Restore — Sleep & stress management Week 1: Foundation (Focus: Awareness) 🥗 Nourish Audit your plate…
Read the full answer
Qwen3.5 397B A17B641 words
Here is a simple, actionable 1-month plan designed to build sustainable habits for health and longevity. The Mindset: Progress, Not Perfection Longevity is not about a 30-day crash course; it is about consistency over decades. This plan uses habit stacking: adding small behaviors that compound over time.
Read the full answer

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-Flash199 words
🍯 Golden Honey-Pepper Skillet Pasta A warm, savory-sweet pasta that tastes like comfort in a bowl. 7 Pantry Ingredients: Pasta (spaghetti or penne) Olive oil (or butter) Garlic Honey Soy sauce Red pepper flakes Salt & pepper (counted as one pantry staple) ⏱️ Times Prep Time 5 minutes Cook Time 12 minutes Total ~17…
Read the full answer
Qwen3.5 397B A17B284 words
🌟 Golden Hour Glaze Bowls A sweet-and-savory dish that turns humble shelf-stable staples into a crispy, comforting meal. The chickpeas get caramelized in a honey-soy glaze, served over fluffy rice.
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-Flash1,411 words
How LLMs Learn and Generate Text — Three Audience-Specific Explanations For the Experienced Software Engineer Think of it as an absurdly deep cache with no eviction policy.
Read the full answer
Qwen3.5 397B A17B569 words
The Experienced Software Engineer Think of training an LLM not as "teaching" it, but as extreme lossy compression. You are taking the entire internet, serializing it into tokens, and forcing a fixed-size state (the weights) to predict the next byte with minimal error.
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-Flash1,530 words
The 3 Weakest Claims in the MindMeld AI Pitch Weakness #1: The $180B TAM (Slide 4) Why It's Weak This is the most internally contradictory claim in the entire deck.
Read the full answer
Qwen3.5 397B A17B655 words
Here are the three weakest claims in the MindMeld AI pitch deck, along with an analysis of their weaknesses and recommendations for improvement. The Vision Claim: "Predict what you want to type before you think it."
Read the full answer
Our Verdict
MiMo-V2.6-Flash
MiMo-V2.6-Flash
Qwen3.5 397B A17B
Qwen3.5 397B A17B

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

MiMo-V2.6-Flash costs 13x less per token.

Too close to call
API pricing

Cost per 1M tokens

MiMo-V2.6-Flash
Input
$0.14
4.3× cheaper
Output
$0.28
13× cheaper
Qwen3.5 397B A17B
Input
$0.60
Output
$3.60

MiMo-V2.6-Flash is cheaper on both: 4.3× input, 13× output.

Where to run it

12 hosts, cheapest first

MiMo-V2.6-Flash2 hosts
HostInOutContextUptime
Xiaomifp8$0.14 in·$0.28 out·1M·100% upDDeepInfrafp8degraded$0.14 in·$0.28 out·1M·95.3% up
Qwen3.5 397B A17B10 hosts
HostInOutContextUptime
Alibaba Cloud$0.39 in·$2.34 out·262k·99.9% upDDeepInfrafp8$0.45 in·$3.00 out·262k·97% upPParasailfp8$0.50 in·$3.60 out·262k·99.2% upAAtlasCloudfp8$0.55 in·$3.50 out·262k·96% upDDigitalOcean$0.55 in·$3.50 out·131k·90.3% upPPhala$0.55 in·$3.50 out·262k·98.7% up
4 more hostsFewer hosts
GGMI Cloudfp8$0.60 in·$3.60 out·262k·83.5% upNNovita$0.60 in·$3.60 out·262k·97.4% upSStreamLake$0.60 in·$3.60 out·256k·97.4% upVVenice$0.75 in·$4.50 out·128k·73.2% 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-Flash is developed by Xiaomi while Qwen3.5 397B A17B is developed by Qwen. MiMo-V2.6-Flash has a 1.0M token context window vs Qwen3.5 397B A17B's 262K. You can compare their actual outputs across 10 challenges on Rival to see how they differ in practice.

It depends on your use case. MiMo-V2.6-Flash and Qwen3.5 397B A17B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 10 challenges so you can judge which fits your needs best.

MiMo-V2.6-Flash costs $0.14/M input tokens and Qwen3.5 397B A17B costs $0.6/M input tokens. MiMo-V2.6-Flash is $0.46/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-Flash and Qwen3.5 397B A17B 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

More comparisons

Against the newest arrivals

MiMo-V2.6-Flash logoDeepSeek V4 Flash Vision Exp logo
MiMo-V2.6-Flash vs DeepSeek V4 Flash Vision ExpLanded Sep 2026
Qwen3.5 397B A17B logoSolar Pro 4 logo
Qwen3.5 397B A17B vs Solar Pro 4Landed Sep 2026
MiMo-V2.6-Flash logoHy3 logo
MiMo-V2.6-Flash vs Hy3Landed Sep 2026
Qwen3.5 397B A17B logoQwen3.7 Flash logo
Qwen3.5 397B A17B vs Qwen3.7 FlashLanded Sep 2026
MiMo-V2.6-Flash logoLing 3.0 Flash logo
MiMo-V2.6-Flash vs Ling 3.0 FlashLanded Sep 2026
Qwen3.5 397B A17B logoMuse Glimmer 30B logo
Qwen3.5 397B A17B vs Muse Glimmer 30BLanded Sep 2026
MiMo-V2.6-Flash logoGLM 5.3 logo
MiMo-V2.6-Flash vs GLM 5.3Landed Sep 2026
Qwen3.5 397B A17B logoTernary Bonsai 2 27B logo
Qwen3.5 397B A17B vs Ternary Bonsai 2 27BLanded Sep 2026

Same lab, same size, long tail

MiMo-V2.6-Flash logoMiMo-V2.6-Pro logo
MiMo-V2.6-Flash vs MiMo-V2.6-ProSame lab
MiMo-V2.6-Flash logoMiMo-V2.5 logo
MiMo-V2.6-Flash vs MiMo-V2.5Same lab
Qwen3.5 397B A17B logoQwen3.5 Plus 2026-02-15 logo
Qwen3.5 397B A17B vs Qwen3.5 Plus 2026-02-15Version compare
Qwen3.5 397B A17B logoQwen3.8 Flash logo
Qwen3.5 397B A17B vs Qwen3.8 FlashSame lab
MiMo-V2.6-Flash logoGrok 3 Beta logo
MiMo-V2.6-Flash vs Grok 3 BetaNew provider
MiMo-V2.6-Flash logoGrok 3 Mini Beta logo
MiMo-V2.6-Flash vs Grok 3 Mini BetaNew provider
Qwen3.5 397B A17B logoGrok 3 Thinking logo
Qwen3.5 397B A17B vs Grok 3 ThinkingSame size
MiMo-V2.6-Flash logoGrok 4 logo
MiMo-V2.6-Flash vs Grok 4Same size

Model pages

MiMo-V2.6-Flash logo
MiMo-V2.6-Flash10 outputs, specs and price
Qwen3.5 397B A17B logo
Qwen3.5 397B A17B53 outputs, specs and price
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare Models
  • All Models
  • Image Comparison
  • Audio Comparison
  • Image Generation
  • Best AI For...
  • Arena
  • API Pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model Updates
  • Provider Status
  • AI Creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy Policy
  • Terms
  • RSS Feed