How DeepSeek V4 Triggers a Global AI Price War with OpenAI

DeepSeek V4’s open‑source 1 M‑token MoE model delivers benchmark scores of MMLU 88.7, C‑Eval 92.1 and HumanEval 69.5, while its 4‑bit AWQ quantization, PagedAttention memory management and FlashAttention acceleration cut inference costs and latency, prompting rivals such as Anthropic, OpenAI, Baidu and Huawei to slash prices and boost efficiency in a fierce market battle.

AI efficiencyDeepSeek-V4MoE

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How DeepSeek V4 Triggers a Global AI Price War with OpenAI

Lao Guo's Learning Space

Apr 12, 2026 · Industry Insights

How 1/10 Pricing Drives Chinese LLMs to 10× Market Share

The article analyzes how Chinese large language models like GLM‑5.1, Qianwen 3.6‑Plus and Gemma 4 achieve roughly one‑tenth the cost of GPT‑5.4, leading to dramatically higher profit margins, silent migration in Silicon Valley, and a rapid rise in market share backed by a maturing ecosystem.

AI model ecosystemChinese LLMGLM-5.1

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How 1/10 Pricing Drives Chinese LLMs to 10× Market Share

Software Engineering 3.0 Era

Feb 20, 2026 · Artificial Intelligence

Google Gemini 3.1 Pro Sets New AI Benchmark with Lower Cost and Higher Speed

Google’s Gemini 3.1 Pro, launched on February 19 2026, undercuts Claude Opus 4.6’s price by more than half while matching its benchmark scores, delivers superior code‑agent and multimodal performance, supports up to 1 million‑token contexts, and introduces enhanced safety and phased rollout, reshaping the AI competitive landscape.

AI benchmarksGemini 3.1 ProGoogle AI

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Google Gemini 3.1 Pro Sets New AI Benchmark with Lower Cost and Higher Speed