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$ diff qwen-3-8-27b glm-5-2

Qwen 3.8 27B vs GLM-5.2

Values come from Qwen 3.8 27B and GLM-5.2, where each is cited to its source. This page states no benchmark result and ranks neither model — it puts two published specifications next to each other. Where a lab has not published a figure, the row says so rather than guessing.

What actually differs

Context window
GLM-5.2 takes 1M against 262K — 3.8× more room in a single request.
Weights
Both publish weights — Qwen 3.8 27B under Apache 2.0, GLM-5.2 under MIT (unrestricted, "no regional limits"). Check the licences rather than assuming they permit the same commercial use.
Recency
Qwen 3.8 27B shipped 62 days after GLM-5.2 (2026-08-14 vs 2026-06-13).

Full spec

AttributeQwen 3.8 27BGLM-5.2
DeveloperAlibaba QwenZ.ai
Released2026-08-142026-06-13
Context window262,144 tokens (native; reported extensible to ~1M via YaRN)1,000,000 tokens
Pricingnot recorded$1.40/M input · $4.40/M output — Z.ai's own endpoint on the OpenRouter catalogue, read 2026-08-01. Earlier revisions of this row quoted ≈$0.62–$0.77, which was not a price change: OpenRouter serves this model from 33 providers between $0.72 and $2.31 on input, and `/models` reports whichever one is routing at that instant. Four alerts in a day named $0.97, $1.19, $1.12 and $0.76 — Alibaba, SiliconFlow, an intermediate route, and StreamLake. Reseller quotes are real prices but they are not this model's price; quote the first-party figure, or quote a reseller with its name attached.
LicenseApache 2.0MIT (unrestricted, "no regional limits")
AvailabilityHugging Face (`Qwen/Qwen3.8-27B`, `Qwen/Qwen3.8-27B-FP8`), ModelScopeGLM Coding Plan (highest subscription tier), standalone API, open weights, NVIDIA NIM hosted

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