Models/Z.ai/GLM 5.2

GLM 5.2

Week-volume Z.ai SKU: 4.34T (+18% WoW, not share). Official DeepSWE 44% ±2, $3.92/task: the same row the GLM 5.3 card already names. AA 53 at max. MIT weights at zai-org/GLM-5.2. Official list $1.4 / $4.4; OR $0.966 / $3.036. Hosted GLM is 5.3.

01

Identity

1,048,576Context in
131,072Context out
2026-06-16 (OpenRouter created 1781631930)Released
OpenWeights
Canonical name
GLM 5.2
Aliases
glm-5.2, z-ai/glm-5.2
Continuum hosted id
Not listed as a Continuum hosted id
OpenRouter slug
z-ai/glm-5.2
Hugging Face
zai-org/GLM-5.2
Modalities
text
Open weights Not on Continuum host list Vendor lab

Open MIT weights at zai-org/GLM-5.2. Catalog $0.966 / $3.036, cache read $0.1932 /M, 1,048,576 / 131,072, created unix 1781631930 (16 Jun 2026).

5.3 is the current hosted id. This card will not put 5.3’s AA 60 or vals 71.48% on 5.2.

02

Should I use this for coding agents

Use 5.2 when you want the open MIT checkpoint and the only Z.ai DeepSWE listing we fetched. Official mini-swe-agent: 44% ±2, $3.92/task. AA 53 at max. Hub API 19 Aug 2026: 5,011 likes, 2,748,563 downloads.

DeepSWEmini-swe-agent
44%±2%
bench
DeepSWE
version
v1.1
split
public 113 tasks
harness
mini-swe-agent
n
113
metric
Pass@1
value
44%
ci
±2%
$/task
$3.92
independent as of 2026-08-13 source
Artificial Analysispublished integer
53
bench
Artificial Analysis
version
Intelligence Index
harness
published integer
metric
Intelligence Index
value
53
independent as of 2026-08-19 source
Vals Index

We did not open a vals.ai card for this identity. Chip omitted.

omitted, not invented as of 2026-08-19 source

Ranked view: Best coding models: the independent leaderboard puts this row and every other card that carries an independent coding score on one board, with the confidence intervals left visible.

Named benches, printed only

Copied from AA or vals HTML we opened. 0.0% placeholder bars are omitted. Do not average these into the hero tiles, and do not invent CI, $/task, or steps for Artificial Analysis.

BenchPrintedNoteSourceURLAs of
AA list pair $1.40 / $4.40 per 1M Printed AA pair. Matches official Z.ai. OpenRouter is $0.966 / $3.036. Artificial Analysis GLM-5.2 source 2026-08-19
AA throughput 103 tok/s Printed Speed row. Artificial Analysis GLM-5.2 source 2026-08-19
03

When not to use it

Trust this before you buy

  • Need GLM 5.3 (current hosted id, AA 60, vals 71.48% on that card). Do not paste those tiles here.
  • Official Z.ai $1.4 / $4.4 vs OR $0.966 / $3.036: two published tables. Need hosted inference. Hosted GLM is glm-5.3.
  • Need a vals Accuracy chip. The 19 Aug board 404s this slug.

Plus is $25/mo with $25 weekly hosted usage. The Mac app stays free with your own keys. Get Plus is not Download for Mac.

04

Artifact and Hugging Face downloads

Artifact

SPDX / license
MIT
Total params
HF safetensors.total: 753,329,940,480 stored tensors
Repo size
HF API usedStorage 1,506,689,458,421 bytes
HF created
2026-06-16T07:39:20Z
Official HF repo
zai-org/GLM-5.2
HF downloads
2,748,563
HF likes
5,011

Community quants: Community quants are community.

Official weights

This is the model repo, not Download for Mac. Downloads and likes from the Hugging Face API on 2026-08-19.

05

Continuum serving

Not listed as a Continuum hosted id. Hosted GLM is glm-5.3. Run the MIT weights or OpenRouter z-ai/glm-5.2.

Continuum hosted id not on the host list

We list first-party and OpenRouter, plus Continuum only when the live public allowlist named the id. This is not a 15-host routing table.

06

Economics

DeepSWE official: $3.92 per task (44% ±2). That is the hero economics number.

Official Z.ai pricing.md (same table as 5.3), 19 Aug 2026: $1.4 / $0.26 cached / storage Limited-time Free / $4.4. OpenRouter 5.2 is $0.966 / $3.036, cache $0.1932. Cite both; do not collapse.

Price this model Opens the pricing calculator preloaded with GLM 5.2.

Artificial Analysis Intelligence Index 53 at max, fetched 19 Aug 2026. Same page: 103 tok/s; $843.44 Index eval. AA $1.40 / $4.40 matches official Z.ai and is above the OR pair.

07

Provenance

ClaimSourceAs of
DeepSWE 44% ±2% at undefinedDeepSWE official board2026-08-13
Official GLM-5.2 $1.4 / $0.26 cached / storage Limited-time Free / $4.4 (same table as 5.3)Z.ai pricing.md2026-08-19
OR catalog $0.966 / $3.036, cache $0.1932, 1,048,576 / 131,072, created 1781631930OpenRouter catalog2026-08-19
DeepSWE 44% ±2, $3.92/taskDeepSWE official board2026-08-13
AA Index 53 (max); $1.40 / $4.40; 103 tok/s; $843.44 Index evalArtificial Analysis GLM-5.22026-08-19
HF likes 5,011; downloads 2,748,563; usedStorage 1,506,689,458,421; safetensors.total 753,329,940,480; MIT; created 2026-06-16T07:39:20ZHugging Face API2026-08-19
4.34T week tokens (+18% WoW)OpenRouter rankings This Week2026-08-19
OpenRouter id z-ai/glm-5.2, context 1,048,576OpenRouter /api/v1/models2026-08-19
HF downloads 2,748,563Hugging Face API zai-org/GLM-5.22026-08-19
08

Compare, FAQ, and Get Plus

Same official DeepSWE harness (mini-swe-agent, public 113 tasks), fetched 2026-08-19. Different effort labels are the lab's own setting on that board, shown here rather than normalized.

Continue through Z.ai's model family with GLM 5.1.

FAQ

Did you copy 5.3’s 44% onto 5.2?

The 5.3 card already names GLM-5.2 at 44% ±2, $3.92/task on the official DeepSWE board. This chip is that 5.2 row, not a 5.3 integer pasted onto a different model. AA is 53 here and 60 on 5.3.

Why does the lab blog disagree with DeepSWE or Scale?

Lab posts pick a harness, an effort, a split, and sometimes a private eval set. DeepSWE publishes the official mini-swe-agent row with cost, tokens, and steps. Scale SWE-bench Pro only counts when the public shared-harness board has a row we can fetch. A higher lab number is usually a different test, not a better one.

OpenAI-compatible call

No Continuum hosted id is verified for this model, so this page does not invent a curl target. Use the first-party API or the OpenRouter slug z-ai/glm-5.2.

Plus is $25/mo with $25 weekly hosted usage. The Mac app stays free with your own keys. Get Plus is not Download for Mac.