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  5. GLM 4.5vsMiMo-V2.6-Pro
Updated Sep 2026

GLM 4.5vsMiMo-V2.6-Pro

MiMo-V2.6-Pro is cheaper than GLM 4.5 at $0.435/M vs $0.6/M input tokens.

GLM 4.5 and MiMo-V2.6-Pro compared across 9 shared prompts
SpecGLM 4.5MiMo-V2.6-Pro
Input price$0.6/M tokens$0.435/M tokens
Output price$2.2/M tokens$0.87/M tokens
Context window128K tokens1.0M tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedJul 2025Sep 2026
Side by side

Same prompt, both answers

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

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…

GLM 4.5668 words
For the Experienced Software Engineer (Distributed Systems/APIs Background) Think of an LLM as a massively parallel "routing engine" for language, where attention mechanisms act like dynamic load balancers. Instead of routing network packets, it routes contextual relationships across tokens in a sequence.
Read the full answer
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

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…

GLM 4.5209 words
Pantry Pride Pasta A quick, savory pasta dish that transforms basic pantry staples into a flavorful meal! Ingredients (7): Pasta (e.g., spaghetti or penne) Olive oil Garlic (2-3 cloves, minced) Canned diced tomatoes (1 can, ~14 oz) Dried oregano (1 tsp) Salt (to taste) Black pepper (to taste) Instructions: Cook pasta…
Read the full answer
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

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…

GLM 4.5577 words
1-Month Health & Longevity Plan: Beginner-Friendly Guide Focus Areas: Diet, Exercise, Sleep Goal: Build sustainable habits with gradual progress. Week 1: Foundation Building Theme: Start small, focus on consistency. Diet: Hydration: Drink 2 cups of water immediately upon waking. Aim for 6–8 cups total daily.
Read the full answer
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

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.…

GLM 4.5871 words
Based on the pitch deck summary, here are the 3 weakest claims, with explanations and concrete suggestions for strengthening them: Weak Claim 1: Slide 3 - "94% Accuracy" Why it's weak: Extraordinarily high accuracy claims in BCI, especially non-invasive EEG for complex text generation, lack context and seem implausible…
Read the full answer
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
Our Verdict
GLM 4.5
GLM 4.5
MiMo-V2.6-Pro
MiMo-V2.6-Pro

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

Too close to call
API pricing

Cost per 1M tokens

GLM 4.5
Input
$0.60
Output
$2.20
MiMo-V2.6-Pro
Input
$0.43
1.4× cheaper
Output
$0.87
2.5× cheaper

MiMo-V2.6-Pro is cheaper on both: 1.4× input, 2.5× output.

Where to run it

3 hosts

GLM 4.51 host
HostInOutContextUptime
Z.aifp8$0.60 in·$2.20 out·131k·100% up
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

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

Research

What we learned reading every model

FAQ

Common questions

GLM 4.5 is developed by Zhipu AI while MiMo-V2.6-Pro is developed by Xiaomi. GLM 4.5 has a 128K token context window vs MiMo-V2.6-Pro'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. GLM 4.5 and MiMo-V2.6-Pro 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.

GLM 4.5 costs $0.6/M input tokens and MiMo-V2.6-Pro costs $0.435/M input tokens. MiMo-V2.6-Pro is $0.16/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 GLM 4.5 and MiMo-V2.6-Pro 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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