🚀 MiniMax just unveiled M3, an open-weights AI model aiming to compete with...

🚀 MiniMax just unveiled M3, an open-weights AI model aiming to compete with the frontier labs on three of the hardest problems in AI at once. Most models specialize in one area. M3 is trying to combine all three: ✅ Frontier-level coding and agent capabilities ✅ Massive 1 million token context window ✅ Native multimodal understanding from day one Its benchmark results are impressive: • 59.0% on SWE-Bench Pro • 66.0% on Terminal Bench 2.1 • 34.8% on KernelBench Hard • 74.2% on MCP Atlas • 34.8% SWE-fficiency The model is powered by MiniMax’s new Sparse Attention architecture, which allows it to process up to 1 million tokens of context without the usual scaling bottlenecks. @aipost 🏴