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  5. MiMo-V2.6-ProvsMistral Small 4
Updated Sep 2026

MiMo-V2.6-ProvsMistral Small 4

Mistral Small 4 is cheaper than MiMo-V2.6-Pro at $0.15/M vs $0.435/M input tokens.

MiMo-V2.6-Pro and Mistral Small 4 compared across 9 shared prompts
SpecMiMo-V2.6-ProMistral Small 4
Input price$0.435/M tokens$0.15/M tokens
Output price$0.87/M tokens$0.6/M tokens
Context window1.0M tokens262K tokens
Weights—Open
Free API (OpenRouter)NoNo
ReleasedSep 2026Mar 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
Mistral Small 4150 words
Golden Honey & Cinnamon Couscous A quick, fragrant dish with warm spices and a touch of sweetness—perfect as a side or light meal! Ingredients (7): 1 cup couscous (uncooked) 1 ¼ cups water or broth 2 tbsp honey 2 tbsp butter or olive oil ½ tsp ground cinnamon ¼ cup raisins or chopped nuts (optional but recommended)…
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
Mistral Small 4880 words
1. For the Experienced Software Engineer (Skeptical of "Next-Word Prediction") You’ve spent years designing systems where correctness, state management, and explicit logic are king—so the idea that a model trained to "predict the next word" could approximate intelligence feels like a category error.
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
Mistral Small 4886 words
Here’s a simple, actionable 1-month plan to kickstart better health and longevity, focusing on diet, movement, and sleep—three pillars that deliver the most bang for your buck. Each week builds on the last, with small, sustainable 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
Mistral Small 4827 words
Here are the three weakest claims in the MindMeld AI pitch deck, along with an analysis of their weaknesses and concrete suggestions for improvement: 1. Weak Claim: "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy."
Read the full answer
Our Verdict
MiMo-V2.6-Pro
MiMo-V2.6-Pro
Mistral Small 4
Mistral Small 4Runner-up

Not enough votes to call it. On the specs, MiMo-V2.6-Pro has the edge: bigger model tier, newer, bigger context window.

Slight edge
API pricing

Cost per 1M tokens

MiMo-V2.6-Pro
Input
$0.43
Output
$0.87
Mistral Small 4
Input
$0.15
2.9× cheaper
Output
$0.60
1.4× cheaper

Mistral Small 4 is cheaper on both: 2.9× input, 1.4× 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
Mistral Small 41 host
HostInOutContextUptime
Mistral$0.15 in·$0.60 out·262k·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 Mistral Small 4 is developed by Mistral AI. MiMo-V2.6-Pro has a 1.0M token context window vs Mistral Small 4's 262K. 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 Mistral Small 4 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 Mistral Small 4 costs $0.15/M input tokens. Mistral Small 4 is $0.29/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 Mistral Small 4 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
Mistral Small 4 logo
Mistral Small 453 outputs, specs and price
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