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  5. MiMo-V2.6-ProvsSonar Pro Search
Updated Sep 2026

MiMo-V2.6-ProvsSonar Pro Search

MiMo-V2.6-Pro is cheaper than Sonar Pro Search at $0.435/M vs $3/M input tokens.

MiMo-V2.6-Pro and Sonar Pro Search compared across 9 shared prompts
SpecMiMo-V2.6-ProSonar Pro Search
Input price$0.435/M tokens$3/M tokens
Output price$0.87/M tokens$15/M tokens
Context window1.0M tokens200K tokens
Weights—Closed
Free API (OpenRouter)NoNo
ReleasedSep 2026Oct 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
Sonar Pro Search219 words
Golden Maple Crunch Oatmeal A warm, comforting, and slightly sweet breakfast (or dessert) that’s ready in minutes—using just seven pantry staples. Ingredients Rolled oats (not instant) Water or milk (dairy or plant-based) Maple syrup Butter Salt Cinnamon Walnuts (or any nuts you have) Instructions Toast the Oats: In a…
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
Sonar Pro Search337 words
Experienced Software Engineer Large language models (LLMs) like GPT or Claude are autoregressive transformer architectures trained on massive distributed compute clusters to predict the next token in a sequence, scaling up from simple n-gram models into emergent capabilities through sheer parameter count and data…
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
Sonar Pro Search433 words
1-Month Action Plan for Better Health and Longevity This beginner-friendly, actionable plan focuses on three key areas: Diet, Exercise, and Sleep. Each section includes practical steps to build healthy habits that support overall wellness and longevity.
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.
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Sonar Pro Search368 words
The three weakest claims are the 94% text decoding accuracy, the $5.3B BCI market projection by 2030, and the $180B TAM from 3.5 billion smartphone users. 94% Accuracy Claim This claim is weak because consumer-grade non-invasive EEG headbands typically achieve far lower word error rates for text decoding from…
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Our Verdict
MiMo-V2.6-Pro
MiMo-V2.6-Pro
Sonar Pro Search
Sonar Pro SearchRunner-up

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

MiMo-V2.6-Pro costs 17x less per token.

Too close to call
API pricing

Cost per 1M tokens

MiMo-V2.6-Pro
Input
$0.43
6.9× cheaper
Output
$0.87
17× cheaper
Sonar Pro Search
Input
$3.00
Output
$15.00

MiMo-V2.6-Pro is cheaper on both: 6.9× input, 17× output.

Where to run it

3 hosts

MiMo-V2.6-Pro2 hosts
HostInOutContextUptime
DDeepInfrafp8$0.43 in·$0.87 out·1M·98.7% upXiaomifp8$0.43 in·$0.87 out·1M·100% up
Sonar Pro Search1 host
HostInOutContextUptime
Perplexity$3.00 in·$15.00 out·200k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 22 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

MiMo-V2.6-Pro is developed by Xiaomi while Sonar Pro Search is developed by Perplexity. MiMo-V2.6-Pro has a 1.0M token context window vs Sonar Pro Search's 200K. 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 Sonar Pro Search 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 Sonar Pro Search costs $3/M input tokens. MiMo-V2.6-Pro is $2.56/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 Sonar Pro Search 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

MiMo-V2.6-Pro logo
MiMo-V2.6-Pro9 outputs, specs and price
Sonar Pro Search logo
Sonar Pro Search53 outputs, specs and price
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