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  "text": "Exclusive: MiniMax AI developer report.\n\nTL;DR: It provides more performance for a much lower price.\n\nI now do custom reports for companies with the analysis engine that @blevlabs and I built over the past couple of months. You've seen my reports on OpenClaw and other technologies. Here I did one for MiniMax, comparing it to other models: https://t.co/WhnARBnU8c\n\nThis report was written by using the X API to grab tens of thousands of posts from the AI community (I have the most complete lists of such anywhere: https://t.co/9eRY65x3IQ and Levangie Labs' cognitive architecture does the best job of putting it all together in a report that I've found). \n\nKey things from the report:\n\n++\"MiniMax has built the most cost-effective frontier-tier coding and agentic model on the market.\"\n\n++\"Architecture: MoE (Mixture of Experts) — 230B total parameters, 10B active. This is the key insight: you get frontier-tier reasoning with the inference cost of a 10B model.\"\n\n++\"What the community said: \"Basically Claude Opus performance but 95% cheaper.\" \"80.2% SWE-Bench. 76.8% on agentic tool-calling. Genuinely underrated.\" One developer burned through 922 million tokens in 3 days on the coding plan across 50+ parallel sessions.\"\n\n++\"The consensus: MiniMax M2.7 matches or exceeds Opus on coding and agentic tasks at 1/50th the price.\"\n\n++\"Bottom Line for Developers: If you're building coding agents, agentic workflows, or any system that makes a lot of API calls, MiniMax is the most important model to know right now. The price-to-performance ratio is genuinely unprecedented at the frontier tier.\"\n\nThe complete report comparing it to the other models: https://t.co/WhnARBnU8c\n\nAre you using MiniMax? Why not? The AI community here on X is.\n\nMiniMax Agent → https://t.co/NWX9GThijF\nAPI → https://t.co/lPc0F11xOU\nToken Plan → https://t.co/EDr6dR38w1",
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