# GLM-5.2 vs DeepSeek V4 vs Qwen3: The Open-Weights Coding Model Showdown (2026)

DevFeed: [GLM-5.2 vs DeepSeek V4 vs Qwen3: The Open-Weights Coding Model Showdown (2026)](<https://devfeed.tech/articles/glm-5-2-vs-deepseek-v4-vs-qwen3-the-open-weights-coding-model-showdown-2026-56134.md>)

Original publisher: [Read original article](<https://www.developersdigest.tech/blog/glm-5-2-vs-deepseek-v4-vs-qwen3-open-weights-coding-showdown>)

Author: Developers Digest

Published: 2026-06-17T00:00:00Z

Content type: comparison

Language: en

Sources: [Developers Digest](<https://devfeed.tech/sources/developers-digest.md>)

Topics: [deepseek](<https://devfeed.tech/topics/deepseek.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [data](<https://devfeed.tech/topics/data.md>), [context](<https://devfeed.tech/topics/context.md>)

Tags: [2026](<https://devfeed.tech/tags/2026.md>), [ai-coding-tools](<https://devfeed.tech/tags/ai-coding-tools.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [coding](<https://devfeed.tech/tags/coding.md>), [comparison](<https://devfeed.tech/tags/comparison.md>), [context](<https://devfeed.tech/tags/context.md>), [data](<https://devfeed.tech/tags/data.md>), [deepseek](<https://devfeed.tech/tags/deepseek.md>), [glm](<https://devfeed.tech/tags/glm.md>), [glm-5-2](<https://devfeed.tech/tags/glm-5-2.md>), [kimi](<https://devfeed.tech/tags/kimi.md>), [kimi-k3](<https://devfeed.tech/tags/kimi-k3.md>), [model](<https://devfeed.tech/tags/model.md>), [models](<https://devfeed.tech/tags/models.md>), [open](<https://devfeed.tech/tags/open.md>), [open-weights](<https://devfeed.tech/tags/open-weights.md>), [pricing](<https://devfeed.tech/tags/pricing.md>), [qwen](<https://devfeed.tech/tags/qwen.md>), [qwen3](<https://devfeed.tech/tags/qwen3.md>), [self-host](<https://devfeed.tech/tags/self-host.md>), [table](<https://devfeed.tech/tags/table.md>), [vs](<https://devfeed.tech/tags/vs.md>)

## AI overview

A source-cited comparison of GLM-5.2, DeepSeek V4, Qwen3, and Kimi K3 open-weights coding models, covering benchmark results, per-token pricing, context windows, self-hosting requirements, and model-selection tradeoffs.

## Source excerpt

A data-rich, source-cited comparison of the open-weights coding models that matter in 2026: GLM-5.2, DeepSeek V4, Qwen3, and the new Kimi K3 frontier entrant. Benchmark table, per-token pricing, context windows, self-host footprint, and a clear pick-X-if decision matrix.