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Minimax

Minimax

software
Alex Finn Anish Acharya
+2

4 creators use or recommend it

▲ 1 active in the last 90 days

4 use 6 mention
Last discussed Oct 13, 2026

A Chinese AI company that has released strong frontier open-weight models as part of the growing Chinese AI ecosystem.

What else do they all swear by?

Anish Acharya and Alex Finn use or recommend Minimax. See what else they have in common.

See what they all swear by Or pick your own people

What creators think

Alex Finn and Farbood Nivi recommend Minimax, with Nivi claiming it's 5–10x cheaper than alternatives and "mindbendingly good," though he notes it needs a good harness to get results. Several others — including Ankit Gupta and Nathan Lambert — mention the models as capable and cheap without tipping into a full endorsement. Chris Koerner tested it and came away unimpressed, noting slow generation times around 600 seconds and output quality he called "mumble jumble," adding he wasn't sure if confirmation bias played a role. The picture here is genuinely split: two clear advocates, a cluster of interested observers, and at least one critical voice.

Recently discussed in

How Minimax compares

1 creator weighed in
Claude Direct rival
Anthropic's AI writing assistant

Ankit says MiniMax is really cheap and pretty good for tasks where you don't need a top frontier model like Claude.

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1 creator
AG
Ankit Gupta

"I've been playing around with the MiniMax models and a bunch of others and they're pretty good. They're really cheap and they're pretty good."

Presented as a lower-cost alternative to frontier models like Claude; useful for tasks where being at the very frontier is not necessary

What creators say

Used for: Video generation as part of an AI-orchestrated documentary creation pipeline

"It generates all the video using the MiniMax model via file."

More from Anish Acharya →
FN
Used for: Cost-effective AI inference with a proper harness/orchestration layer Praised: Mindbendingly good quality; 5-10x lower cost than alternatives vs: Compared to frontier proprietary models on cost; noted as needing a harness l...

"MiniMax is just mindbendingly good. Five to ten times less the cost. It needs a good harness though."

More from Farbood Nivi →
AG
Used for: Exploring affordable open-source model alternatives for AI development Praised: Very cheap, pretty good quality vs: Presented as a lower-cost alternative to frontier models like Claude; useful ...

"I've been playing around with the MiniMax models and a bunch of others and they're pretty good. They're really cheap and they're pretty good."

More from Ankit Gupta →
Alex Finn
uses

"MiniMax is good at like quick task finding things on the internet. So I have like MiniMax researching things online 24/7 365."

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Lex Fridman
mentioned

"Yeah, for some of the MiniMax, some of the AI companies that..."

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Emad Mostaque
mentioned H3
Praised: 2K video generated faster than real time

"This is like when you see the latest MiniMax H3 model. They've got 2K video faster than real-time generation now."

More from Emad Mostaque →
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Simon Mo
mentioned M2.7
vs: Grouped with Kimi as examples of Chinese model labs adopting new licensing ap...

"Starting from even MiniMax — when they were releasing their M2.7 model, they had a term specifically focusing on usage."

More from Simon Mo →

"just to give you a little bit of an example minimax and moonshot these are two Chinese AI models their cost per million output tokens is about $2 US to $3 US"

More from The Prof G Pod – Scott Galloway →
Chris Koerner
mentioned

"This Miniax, is open. Anybody could go and download it, and they could adjust the weights on it"

More from Chris Koerner →
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Nathan Lambert
mentioned

"The likes of Z.ai with their GLM models, Minimax's models, Kimi Moonshot, especially in the last few months, has shown more brightly."

More from Nathan Lambert →

About this data

  • ✓45,000+ mentions extracted from real podcast transcripts
  • ✓Every quote links to the source episode
  • ✓Sponsored mentions are always labeled
  • ✓Critical takes are shown, never filtered out
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