Meta Releases Llama 4 with 405B Parameter Model Leading Open-Source Benchmarks for APAC Enterprise Deployment

Meta has released Llama 4, the fourth generation of its open-weights language model series, including a 405B parameter flagship model that leads open-source benchmarks across reasoning, coding, mathematics, and multilingual tasks — narrowing the performance gap with proprietary frontier models (GPT-4o, Claude 3.5 Sonnet) while remaining fully open-weights and deployable on APAC enterprise infrastructure.

Llama 4's multilingual improvements are particularly significant for APAC enterprise deployment: Meta has expanded APAC language coverage substantially, with Llama 4 trained on significantly more Japanese, Korean, Simplified Chinese, Traditional Chinese, Bahasa Indonesian, and Vietnamese data than its predecessors. Early benchmarks on APAC language reasoning tasks show Llama 4 performing substantially above Llama 3.3 70B, closing the quality gap with proprietary multilingual models for APAC language applications.

For APAC enterprises evaluating open-source LLM deployment, Llama 4 405B raises the performance ceiling of what can be achieved on sovereign infrastructure — though infrastructure requirements (multiple H100 GPUs) limit accessibility to enterprise-grade deployments. Llama 4 70B provides the most practical starting point for APAC enterprises: strong multilingual performance, capable reasoning, and deployable on infrastructure available to mid-market organisations. Meta's commercial license for Llama 4 allows enterprise deployment with relatively few restrictions, making it the default open-source foundation model for APAC enterprises not requiring the absolute frontier performance of 405B deployments.