models · zhipu-ai

GLM-4.7

Zhipu AI GLM-4.7. 358B, arena 1064. GPQA Diamond 85.7%, AIME 95.7%. Updated flagship with improved multilingual and reasoning performance.

Compare Verify

What this registry has checked

Quarantine. We hold the publisher’s own published hash for these weights and have recorded it against this entry. We have not downloaded and hashed the weights ourselves, so the hash is the publisher’s claim, not our measurement.
Weight file SHA-2564443c1888927bd19c3728a10043a1cd9a2369430efef192ffa70fc22f7be12c2
Methodhf-published-sha256

What is recorded

Publisherzhipu-ai
OriginRecorded as a covered nation under 10 U.S.C. § 4872(f) — the PRC, Russia, Iran or North Korea. The registry did not record which.
LicenceMIT
Parameters358,337,791,296 (358.3B)
Context window128K
Modalitytext->text
Architectureglm4_moe
Layers92
Hidden size5120
AttentionGQA (96 heads, 8 KV)
Native precisionBF16
Pulls recorded here340,016
Downloads reported upstream90,594

Reported scores

MMLU-Pro85.6
GPQA Diamond85.9
AIME 202595
LiveCodeBench89.4
IFBench67.9
Humanity's Last Exam27.4

Reported by a third party and recorded here, not re-run by us. Source: artificialanalysis.ai/api/v2.

Measured on real hardware

None of these runs are ours. Each figure is the reporter’s, linked to their own evidence, under their own trust label. The number shown is single-stream decode — one user, concurrency 1 — because aggregate throughput across many users is a different quantity and reads as far faster than anyone will see.

Reported to local-ai-registry

From local-ai-registry (MIT), commit 124959d: 3 runs across 2 machines, 0 validated — model revision and runtime pinned, launch accepted — and 3 candidate, their label for useful evidence without a reproducible-launch promise.

Elsewhere in the registry

Registry record as of 2026-09-26. Identity, licence and parameter count are properties of a release and do not move; tier can, and the verify link above re-checks it against the live registry rather than this page.