MiniMax M3 is Here and It's AWESOME!

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MiniMax Token Plan 12% OFF: https://samuelgregory.co.uk/minimax
MiniMax Platform:https://platform.minimax.io
API Documentation:https://platform.minimax.io/docs/guides/text-generation

Extra info and code example: https://www.samuelgregory.co.uk/videos/minimax-m3-is-here-and-its-awesome

You are throwing your money away on frontier models that are barely faster than a snail compared to the new Minimax M3. This model is currently smashing benchmarks and rivaling Opus 4.7 while remaining a fraction of the cost. In this video, we explore how to initialise the M3 model in your local workflows and take a look at the incredible speed increases provided by its sparse attention architecture.

Key takeaways:
- Sparse attention leads to 4x faster performance than standard flash attention.
- Native multimodal capabilities allow for direct image inference without external models.
- A mass...

Work with me: https://samuelgregory.co.uk

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$ cat tools.txt
────────────────────────────────
Kilo: https://samuelgregory.co.uk/kilo-code
Replit (Favourite Vibe Code Tool) : https://samuelgregory.co.uk/replit
Perplexity (deep research): https://samuelgregory.co.uk/perplexity
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Lingo: Agile: https://thefullstackagency.gumroad.com/l/agile-lingo
Lingo: Startup: https://thefullstackagency.gumroad.com/l/startup-lingo

$ cat timestamps.txt
────────────────────────────────
00:00 English guys and bald heads
00:05 MiniMax launch M3 models
00:20 The benchmarks are WILD
00:37 Sparse Attention Architecture increases model speed
01:09 1million context and 12 hour continuous use
01:19 Pricing and usage
01:47 Setting it up in OpenClaw
02:45 MiniMax M3 is now MULTIMODAL
03:38 MiniMax M3 on Hermes
04:24 MiniMax M3 in Claude Code
04:27 MiniMax M3 in Pi
05:17 Speed comparison of MiniMax M2.7 vs M3
05:33 Putting M3 to the test

#MiniMax #MiniMaxM3 #AI #MachineLearning
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