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  5. MiMo-V2.6-ProvsMiniMax M1
Updated Sep 2026

MiMo-V2.6-ProvsMiniMax M1

MiniMax M1 is cheaper than MiMo-V2.6-Pro at $0.3/M vs $0.435/M input tokens.

MiMo-V2.6-Pro and MiniMax M1 compared across 3 shared prompts
SpecMiMo-V2.6-ProMiniMax M1
Input price$0.435/M tokens$0.3/M tokens
Output price$0.87/M tokens$1.65/M tokens
Context window1.0M tokens1.0M tokens
Weights—Open
Free API (OpenRouter)NoNo
ReleasedSep 2026Jun 2025
Side by side

Same prompt, both answers

Opening lines from 2 of the 3 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
MiniMax M1672 words
Here's a delicious, fast, and flexible recipe using 7 common pantry staples: Dish Name: Sun-Drenched Chickpea Scramble (Inspired by chickpea "scrambles" or shakshuka variations, using pantry essentials) Flavor Profile: Savory, earthy, bright, slightly tangy, and warmly spiced.
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
MiniMax M1763 words
For an Experienced Software Engineer Imagine you’re designing a distributed system where every API request is a snippet of text, and your system’s job is to predict the next word in the sequence. That’s essentially what a large language model (LLM) does.
Read the full answer
Our Verdict
MiMo-V2.6-Pro
MiMo-V2.6-Pro
MiniMax M1
MiniMax M1

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

Too close to call
API pricing

Cost per 1M tokens

MiMo-V2.6-Pro
Input
$0.43
Output
$0.87
1.9× cheaper
MiniMax M1
Input
$0.30
1.4× cheaper
Output
$1.65

MiniMax M1 wins input (1.4× cheaper)·MiMo-V2.6-Pro wins output (1.9× cheaper)

Where to run it

3 hosts, cheapest first

MiMo-V2.6-Pro1 host
HostInOutContextUptime
Xiaomifp8$0.43 in·$0.87 out·1M·100% up
MiniMax M12 hosts
HostInOutContextUptime
MiniMax$0.40 in·$2.20 out·1M·100% upNNovitabf16$0.55 in·$2.20 out·1M·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 MiniMax M1 is developed by MiniMax. MiMo-V2.6-Pro has a 1.0M token context window vs MiniMax M1's 1.0M. You can compare their actual outputs across 3 challenges on Rival to see how they differ in practice.

It depends on your use case. MiMo-V2.6-Pro and MiniMax M1 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 3 challenges so you can judge which fits your needs best.

MiMo-V2.6-Pro costs $0.435/M input tokens and MiniMax M1 costs $0.3/M input tokens. MiniMax M1 is $0.14/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 MiniMax M1 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-Pro3 outputs, specs and price
MiniMax M1 logo
MiniMax M158 outputs, specs and price
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