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GLM 4.7 and MiniMax M2.1 autonomously created command-line task runners in 10-14 minutes, handling complex coding tasks that typically take senior developers 1-2 days to complete.
MiniMax's newly released M2.1 model has broken into the top tier of open-weights AI systems, securing a spot in the top five on the Artificial Analysis Intelligence Index with a 64-point score while offering competitive pricing and efficient token usage.
MiniMax just dropped its M2.1 coding model as open-source, and it's making waves by beating both Claude Sonnet 4.5 and Gemini 3 Pro on multilingual coding tests. The real eye-opener? An 88.6% score on MiniMax's VIBE full-stack benchmark.
MiniMax M2.1 Preview just dropped on Code Arena's leaderboard as the top open model for WebDev tasks, landing at #6 overall with a score of 1445 alongside GLM-4.7.
First benchmark results put MiniMax M2.1 and GLM-4.7 neck-and-neck on SWE-bench Verified, though MiniMax pulls ahead on Terminal Bench 2.0. Keep in mind these are vendor-reported numbers, not independent tests.
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