GLM-5.2
Released Jun 13, 2026 · knowledge cutoff 2026-03
- Status
- Superseded
- Location
- China
- Modality
- Text
- Context window
- 1M
- Max output
- 128K
- Speed
- —
- Price ($/MTok in / out)
- $1.40 / $4.40
- Cost per task (max effort)
- $0.30
- Open weights
- Yes
Benchmarks6 of 8 reported
MMLU-Pro
GPQA Diamond
AIME (latest)
Humanity's Last Exam
LMArena Elo
ARC-AGI-2
SWE-bench Verified
Terminal-Bench 2.1
Strengths & weaknesses
Strengths
- Produces clean, production-ready code first time more often than its cost suggests
- Reliable multi-turn tool calling — it doesn't lose track of what it already called
- Unrestricted licence and mainstream inference-stack support make self-hosting straightforward
Weaknesses
- Very verbose — roughly double its predecessor's output per task, which shows up on both the bill and the clock
- Noticeably slower per task than closed flagships of the same period
- Text-only, so no screenshots, diagrams or PDFs
SWE-bench Pro 62.1 reported; no SWE-bench Verified figure has been published. GPQA Diamond sources conflict (91.2 per the official Hugging Face model card vs ~80.3 in some third-party trackers) — official figure used. HLE 40.5% no tools / 54.7% with tools. Max output listed as 128K in most reporting; some sources cite up to 163,840 for extended reasoning. LMArena Elo 1469 is the "GLM-5.2 (max)" text-arena listing (arena.ai), the only GLM-5.2 variant on the board.
For developers
API model strings
Not researched
Licence
Not researched
Retirement
No retirement announced
Lineage
No recorded predecessor
News
In the news
- Aug 14, 2026
Z.ai ships GLM-5.3, its strongest open-weights coding model — but weights aren't out yet
- Jul 17, 2026
Artificial Analysis puts Kimi K3 third on its Intelligence Index
- Jul 5, 2026
"Price per 1M tokens is meaningless" argues for comparing models on cost per task
- Jun 13, 2026
Zhipu AI releases GLM-5.2, an MIT-licensed open-weights coding flagship