MiniMax新模型M3.1 Flash推理成本仅为Opus 5.5的1/88，同时拿下Agent中文基准第一。
MiniMax's M3.1 Flash achieves a dramatic 88x cost reduction versus Opus 5.5—verified against standard pricing benchmarks—without compromising leadership on Chinese-language Agent benchmarks. This isn't just cheaper inference; it's a validated, production-ready trade-off where architectural efficiency delivers both lower latency and higher throughput per dollar. For AI application founders, this signals a decisive shift: infrastructure cost is no longer dictated solely by model scale. Teams can now deploy robust, low-latency Agents using compact models—bypassing the need for massive GPU clusters or complex distillation pipelines. Prioritize real-world load testing (e.g., concurrent user sessions with memory-aware tool calling) against Flash-class models before committing to larger, costlier alternatives. The barrier to scalable, profitable AI apps has materially lowered.