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SMAC-Talk is a new benchmark that extends the StarCraft Multi-Agent Challenge to evaluate LLM-based agents in cooperative multi-agent environments with natural language communication. It includes scenarios with deceptive communicators and benchmarks agents using models from the Qwen3.5 family to study how reasoning, memory, and scale affect coordination.