What Makes DeepSeek V4 Different? A Deep Technical Dive into Its Innovations

DeepSeek V4 introduces a suite of architectural breakthroughs—including mixed‑expert MoE, manifold‑constrained hyper‑connections, CSA/HCA hybrid attention, and FP4 quantization—that slash inference cost by up to tenfold while delivering million‑token context, competitive benchmarks, dual model variants, and a disruptive pricing strategy.

AI Model BenchmarkDeepSeek V4Efficient Attention

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What Makes DeepSeek V4 Different? A Deep Technical Dive into Its Innovations

DataFunTalk

Apr 25, 2026 · Artificial Intelligence

DeepSeek‑V4 vs GPT‑5.5: First Real‑World Tests Reveal Surprising Results

On the day GPT‑5.5 launched, DeepSeek‑V4 followed, and a series of head‑to‑head tests—including a logic puzzle, an IMO math problem, HTML generation, game‑engine coding, token‑efficiency measurement, and a network‑security challenge—showed GPT‑5.5 generally leading while DeepSeek demonstrated notable strengths and cost advantages.

AI Model BenchmarkAI securityCoding Agent

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DeepSeek‑V4 vs GPT‑5.5: First Real‑World Tests Reveal Surprising Results

Programmer's Advance

Jan 21, 2026 · Artificial Intelligence

Why GLM‑4.7‑Flash Delivers 70B‑Level Performance with Only 30B Parameters

GLM‑4.7‑Flash, released by Zhipu AI on Jan 20 2026, uses a Mixture‑of‑Experts (MoE) backbone and a Multi‑Latent Attention (MLA) mechanism to achieve near‑70B model quality with just 30 B total and 3 B active parameters, running on a single 24 GB GPU or even a Mac, while remaining fully open‑source and free to use.

AI Model BenchmarkGLM-4.7-FlashMixture of Experts

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Why GLM‑4.7‑Flash Delivers 70B‑Level Performance with Only 30B Parameters

AI Insight Log

Dec 23, 2025 · Artificial Intelligence

GLM-4.7 Beats GPT-5 in Coding Tests at One‑Seventh the Cost

Zhipu's newly released GLM-4.7 model outperforms GPT-5 and Claude Sonnet 4.5 on multiple coding benchmarks, introduces Vibe Coding for UI generation, offers Interleaved and Preserved Thinking capabilities, is fully open‑source, and costs only one‑seventh of competing services.

AI Model BenchmarkGLM-4.7code generation

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GLM-4.7 Beats GPT-5 in Coding Tests at One‑Seventh the Cost