Best Of
Best Open-Weight LLMs for AI Agents (2026): Cost & Self-Hosting
Compare the best open weights LLMs for AI agents in 2026: DeepSeek V4, openPangu-2.0-Pro, Llama 4 Maverick, cost, context, benchmarks, and self-hosting fit.
ReadTag: #moe
Model Introduction
openPangu-2.0-Pro: Huawei's 505B Ascend-Native LLM
Huawei releases openPangu-2.0-Pro — a 505B parameter open-weight MoE model trained entirely on Ascend 910B NPUs. Architecture breakdown, hardware sovereignty implications, and honest assessment.
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Model Introduction
DeepSeek V4 Flash 0731: $0.28 Beats Its Own Flagship
DeepSeek V4 Flash 0731 exits preview with 82.7 Terminal-Bench and 54.4 DeepSWE. 284B/13B MoE, 1M context, MIT license, at $0.14/$0.28 per million tokens. Agent benchmarks beat V4-Pro-Preview.
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Model Introduction
Qwen 3.8 Max: Alibaba's 2.4T Multimodal Flagship
Qwen 3.8 Max is Alibaba's 2.4 trillion parameter multimodal flagship with 1M context, MoE architecture, and top Arena.AI rankings. Specs, pricing, and how to access it on SandBase.
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