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MiniMax's M3.1 Flash model demonstrates significant efficiency gains for AI agents, achieving a 70% reduction in operational costs and near threefold speed improvements through aggressive inference-time sparsity without altering the model's parameter count. The release highlights critical industry shifts toward optimizing token usage and throughput for agentic workflows while maintaining competitive performance on reasoning and security benchmarks against peers like DeepSeek.

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MiniMax launches M3.1 Flash model, says it cuts AI agent costs by 70%

SiliconANGLEOctober 19, 20264 min read

Chinese artificial intelligence developer MiniMax Group Inc. today released M3.1 Flash, a faster and cheaper update to the M3 large language model it launched in June. The release takes aim at the cost of running AI agents, which often need dozens of model calls to finish a single job. MiniMax said Flash represents its “ongoing […] The post MiniMax launches M3.1 Flash model, says it cuts AI agent costs by 70% appeared first on SiliconANGLE.

MiniMax launches M3.1 Flash model, says it cuts AI agent costs by 70% Chinese artificial intelligence developer MiniMax Group Inc. today released M3.1 Flash, a faster and cheaper update to the M3 large language model it launched in June. The release takes aim at the cost of running AI agents, which often need dozens of model calls to finish a single job. MiniMax said…

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