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- GLM 4.7 - Powerful CODING BEAST!
GLM 4.7 - Powerful CODING BEAST!
BONUS: MiniMax M2.1 just dropped, bringing a powerful new open model for coding and agent workflows.

The open-source AI ecosystem has been quietly heating up all year.
This week, it crossed into “you can’t ignore this anymore” territory.
Not loud.
Not flashy.
But genuinely meaningful.
Open models are officially in the top tier
According to LM Arena, GLM-4.7 is now the #1 open model for WebDev — and #6 overall, sitting right next to the best closed models from OpenAI, Google, and Anthropic.
That’s not a small win.
WebDev is one of the hardest categories to do well in. It’s not just about generating code — it’s about understanding projects, handling frameworks, and making changes without breaking everything.
Open models usually struggle here.
GLM-4.7 didn’t.
What makes this different
GLM-4.7 isn’t winning on some obscure benchmark.
It’s beating multiple GPT-5 variants, Claude Sonnet (thinking), and Gemini models in real developer workflows — while staying fully open.
No access limits.
No lock-in.
No “you can’t deploy this yourself.”
If you build apps, internal tools, or AI-powered products, this is one of those moments where the gap quietly closes — and doesn’t reopen.

LM Arena WebDev leaderboard showing GLM-4.7 ranking #6 overall
Plus: MiniMax M2.1
At the same time, MiniMax quietly released MiniMax M2.1 — and it fits the same pattern.
M2.1 isn’t trying to be everything.
It’s built for people who actually ship things.
Think:
coding
agents
multi-step reasoning
tool use
It uses a sparse architecture to stay fast and efficient, while still competing with much larger closed models. No hype cycle — just a practical model aimed at real workflows.
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Why this matters
Zoom out for a second.
This isn’t about one model winning a leaderboard.
It’s about what that leaderboard represents.
Open models are no longer “good for open.”
They’re just… good.
GLM-4.7 and MiniMax M2.1 are part of a bigger shift where serious capability is no longer locked behind a handful of closed APIs.
That changes who gets to build, and how fast they can move.
Bottom line
This wasn’t a loud week for AI.
But it was an important one.
Open models didn’t just catch up.
They showed they belong at the top.
And that’s worth paying attention to.


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