Models & AlgorithmsKR

Qwen 3.5 vs DeepSeek V3.2 — The 2026 Open-Source LLM Showdown

Complete comparison of Qwen 3.5 and DeepSeek V3.2: architecture, benchmarks, hardware requirements, and practical recommendations.

Qwen 3.5 vs DeepSeek V3.2 — The 2026 Open-Source LLM Showdown

Qwen 3.5 vs DeepSeek V3.2 — The 2026 Open-Source LLM Showdown

Two models dominate the 2026 open-source LLM landscape: Alibaba's Qwen 3.5 (February 2026) and DeepSeek's V3.2 (December 2025). Both are Apache 2.0 licensed, both rival proprietary models, and both support local deployment.

But their architectures, strengths, and ideal use cases are fundamentally different. This post compares them from architecture to benchmarks, hardware requirements, and practical recommendations.

1. Specs at a Glance

SpecQwen 3.5 (397B-A17B)DeepSeek V3.2
ReleasedFebruary 16, 2026December 2025
Total Parameters397B685B
Active Parameters~17B~37B
ArchitectureGated DeltaNet + MoEMoE + MLA + Sparse Attention
Context Length262K (up to 1M extended)163K
MultimodalNative (text+image+video)Text only
Size Options8 (0.8B to 397B)3 (V3.2, Exp, Speciale)
LicenseApache 2.0Apache 2.0
Languages201~100
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