Models/Z.ai/GLM 4.7 Flash

GLM 4.7 Flash

As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...

01

Identity

202,752Context in
16,384Context out
2026-01-19 (OpenRouter created 1768833913)Released
OpenWeights
Canonical name
GLM 4.7 Flash
Aliases
z-ai/glm-4.7-flash, zai-org/GLM-4.7-Flash
Continuum hosted id
Not listed as a Continuum hosted id
OpenRouter slug
z-ai/glm-4.7-flash
Hugging Face
zai-org/GLM-4.7-Flash
Modalities
text
Open weights Not on Continuum host list Open

Context window on the 2026-08-19 OpenRouter row: 202,752 tokens.

Max completion tokens on that row: 16,384.

Input / output on that row: $0.06 / $0.40 per 1M tokens.

Architecture fields: text->text · Other.

Hugging Face id on that row: zai-org/GLM-4.7-Flash.

02

Should I use this for coding agents

As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency.

When you want the 2026-01-19 catalog SKU, not a later rename.

DeepSWE

No official DeepSWE mini-swe-agent row for this identity on the public board we fetched.

omitted, not invented as of 2026-08-13 source
Artificial Analysispublished integer
23
bench
Artificial Analysis
version
Intelligence Index
harness
published integer
metric
Intelligence Index
value
23
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
SciCode 33.7% Printed on the AA Intelligence Evaluations grid for GLM-4.7-Flash (Reasoning). Not a DeepSWE chip. Artificial Analysis GLM-4.7-Flash source 2026-08-19
Humanity's Last Exam 7.6% Printed on the AA Intelligence Evaluations grid for GLM-4.7-Flash (Reasoning). Not a DeepSWE chip. Artificial Analysis GLM-4.7-Flash source 2026-08-19
GPQA Diamond 58.1% Printed on the AA Intelligence Evaluations grid for GLM-4.7-Flash (Reasoning). Not a DeepSWE chip. Artificial Analysis GLM-4.7-Flash source 2026-08-19
CritPt 0.3% Printed on the AA Intelligence Evaluations grid for GLM-4.7-Flash (Reasoning). Not a DeepSWE chip. Artificial Analysis GLM-4.7-Flash source 2026-08-19
AA-Omniscience Accuracy 16.2% Printed on the AA Intelligence Evaluations grid for GLM-4.7-Flash (Reasoning). Not a DeepSWE chip. Artificial Analysis GLM-4.7-Flash source 2026-08-19
AA-LCR 40.7% Printed on the AA Intelligence Evaluations grid for GLM-4.7-Flash (Reasoning). Not a DeepSWE chip. Artificial Analysis GLM-4.7-Flash source 2026-08-19
03

When not to use it

Trust this before you buy

  • When you need a Continuum-hosted SKU from this lab, use the hosted card on this hub instead of this catalog row.
  • $0.06 in / $0.40 out per 1M on the 2026-08-19 OpenRouter row. Context 202,752 in / 16,384 out.
  • Need a denser published sibling on this hub? GLM 5.3 is the card already on the cluster.

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: 31,221,488,576 stored tensors
Native precision
HF tensors BF16 + F32
Repo size
HF API usedStorage 62,937,229,623 bytes
HF created
2026-01-19T06:28:10.000Z
Official HF repo
zai-org/GLM-4.7-Flash
HF downloads
2,005,378
HF likes
1,820

Official weights id on the 2026-08-19 OpenRouter row: zai-org/GLM-4.7-Flash. Community GGUF is a quant, not a second Continuum card.

Official weights

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

Hub file tree

Safetensor shards
48
Shard bytes
62,444,175,504 bytes
Other file bytes
21,110,996 bytes
Tree file count
58
Hub usedStorage
62,937,229,623 bytes

usedStorage and the sum of .safetensors sizes can differ (LFS pointers, non-shard files, duplicate copies). Cited separately. Source: recursive tree API, 2026-08-19.

PathBytes
model-00001-of-00048.safetensors1,438,134,344
model-00002-of-00048.safetensors1,270,648,128
model-00003-of-00048.safetensors1,270,648,128
model-00004-of-00048.safetensors1,270,648,128
model-00005-of-00048.safetensors1,270,648,128
model-00006-of-00048.safetensors1,270,648,128
model-00007-of-00048.safetensors1,270,648,128
model-00008-of-00048.safetensors1,270,648,128
model-00009-of-00048.safetensors1,270,648,128
model-00010-of-00048.safetensors1,270,648,128
model-00011-of-00048.safetensors1,270,648,328
model-00012-of-00048.safetensors1,270,648,328
model-00013-of-00048.safetensors1,270,648,328
model-00014-of-00048.safetensors1,270,648,328
model-00015-of-00048.safetensors1,270,648,328
model-00016-of-00048.safetensors1,270,648,328
model-00017-of-00048.safetensors1,270,648,328
model-00018-of-00048.safetensors1,270,648,328
model-00019-of-00048.safetensors1,270,648,328
model-00020-of-00048.safetensors1,270,648,328
model-00021-of-00048.safetensors1,270,648,328
model-00022-of-00048.safetensors1,270,648,328
model-00023-of-00048.safetensors1,270,648,328
model-00024-of-00048.safetensors1,270,648,328
model-00025-of-00048.safetensors1,270,648,328
model-00026-of-00048.safetensors1,270,648,328
model-00027-of-00048.safetensors1,270,648,328
model-00028-of-00048.safetensors1,270,648,328
model-00029-of-00048.safetensors1,270,648,328
model-00030-of-00048.safetensors1,270,648,328
model-00031-of-00048.safetensors1,270,648,328
model-00032-of-00048.safetensors1,270,648,328
model-00033-of-00048.safetensors1,270,648,328
model-00034-of-00048.safetensors1,270,648,328
model-00035-of-00048.safetensors1,270,648,328
model-00036-of-00048.safetensors1,270,648,328
model-00037-of-00048.safetensors1,270,648,328
model-00038-of-00048.safetensors1,270,648,328
model-00039-of-00048.safetensors1,270,648,328
model-00040-of-00048.safetensors1,270,648,328
model-00041-of-00048.safetensors1,270,648,328
model-00042-of-00048.safetensors1,270,648,328
model-00043-of-00048.safetensors1,270,648,328
model-00044-of-00048.safetensors1,270,648,328
model-00045-of-00048.safetensors1,270,648,328
model-00046-of-00048.safetensors1,270,648,328
model-00047-of-00048.safetensors2,539,429,936
model-00048-of-00048.safetensors1,287,438,264
tokenizer.json20,217,442
model.safetensors.index.json871,830
README.md8,174
tokenizer_config.json7,226
chat_template.jinja3,120
.gitattributes1,570
config.json1,070
.eval_results/gpqa.yaml197
.eval_results/hle.yaml186
generation_config.json181

All 58 files the tree API returned are listed: every one of the 48 safetensor shards plus 10 other files. Files tab: https://huggingface.co/zai-org/GLM-4.7-Flash/tree/main.

05

Continuum serving

OpenRouter slug z-ai/glm-4.7-flash on the 2026-08-19 catalog.

First party: https://docs.z.ai/.

Not on the Continuum host list fetched 2026-08-19.

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

OpenRouter 2026-08-19: $0.06 in / $0.40 out per 1M tokens. Context 202,752 in / 16,384 out.

No separate internal-reasoning price on that row.

Price this model Opens the pricing calculator preloaded with GLM 4.7 Flash.
07

Provenance

ClaimSourceAs of
OpenRouter id z-ai/glm-4.7-flash; context 202752; created 1768833913; $0.06 / $0.40 per 1MOpenRouter /api/v1/models2026-08-19
AA Intelligence Index 23; 6 printed Index benchesArtificial Analysis model page2026-08-19
OpenRouter id z-ai/glm-4.7-flash, context 202,752OpenRouter /api/v1/models2026-08-19
HF downloads 2,005,378Hugging Face API zai-org/GLM-4.7-Flash2026-08-19
HF safetensors.total: 31,221,488,576 stored tensors; HF API usedStorage 62,937,229,623 bytes; created 2026-01-19T06:28:10.000Z; HF tensors BF16 + F32Hugging Face API zai-org/GLM-4.7-Flash2026-08-19
48 safetensor shards; shard bytes 62,444,175,504; tree files 58Hugging Face tree API zai-org/GLM-4.7-Flash2026-08-19
08

Compare, FAQ, and Get Plus

No other card in this cluster shares a published DeepSWE official row we can put next to this one. We will not compare on vendor-blog numbers.

Continue through Z.ai's model family with GLM 4.7.

FAQ

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-4.7-flash.

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.