Evidence in this edition6 source links

none reviewed yet · 4 benchmark observations · latest capture Sep 8, 2026

Inspect the evidence
Task fit81.7/100

Saved editorial fit for your current task lens; not a benchmark result

How scoring works
Cost at your workload$148.20

Verified rates (Sep 8, 2026) · 100 runs / month at your token settings

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At a glance

9 facts
Provider
Z.ai
Type
API model
Access
Z.ai API, GLM Coding Plan, ZCode, Claude Code, OpenCode, Alibaba Cloud Model Studio resale, Hugging Face weights
Context
1,048,576 tokens
Maximum output
163,840 tokens maximum generation length (Z.ai); 128K used for Terminal Bench 3.0
License / weights
Open weights
Input modalities
text
Output modalities
text
Pricing notes
$1.40 in / $4.40 out per 1M with $0.26 cached input (Z.ai docs; cached-input storage free for a limited time). The GLM Coding Plan uses points, with 50% off-peak discount outside 14:00-18:00 UTC+8 on weekdays.

The practical trade-offs

Documented strengths

  • Terminal Bench 2.1 88.2 is effectively tied with Kimi K3 (88.3) and DeepSeek V4 Pro (87.9)
  • Huge generational jump: Terminal Bench 3.0 4.6 -> 28.3 and DeepSWE 46.2 -> 66.9 vs GLM-5.2
  • Open weights (753B) with wide inference-engine support and $1.40/$4.40 hosted pricing
  • TTFT 2.14 s with 84.2 tok/s - responsive for a frontier-scale model

Limitations to check

  • No SWE-bench Pro, SWE-bench Verified or Design Arena row exists for 5.3
  • Thinking cannot be disabled, forcing a migration for non-thinking apps
  • Licence terms are not stated on the Hugging Face card; AA calls it a restricted commercial licence
  • Text-only on the evidence available - no documented image input for frontend screenshots
Follow the source

Evidence & conditions

6 source links
6Source links
NoneReviewed records
4Benchmark runs
Sep 8, 2026Latest capture

Benchmark observations

Terminal-Bench 2.1 Inspect conditions
name
Terminal-Bench 2.1
value
88.2
unit
%
source Url
https://huggingface.co/zai-org/GLM-5.3
checked At
2026-09-08T19:28:18Z
attribution
provider-reported
configuration
GLM-5.3; Claude Code 2.1.207; default max effort; temperature=1; top_p=1; max_new_tokens=65536; six-hour limit.
Terminal-Bench 3.0 Inspect conditions
name
Terminal-Bench 3.0
value
28.3
unit
%
source Url
https://huggingface.co/zai-org/GLM-5.3
checked At
2026-09-08T19:28:18Z
attribution
provider-reported
configuration
GLM-5.3; Claude Code 2.1.207; max effort; 400K context; 128K output; avg@3; 600 turns; ten-hour limit; ToolSearch disabled.
DeepSWE v1.1 Inspect conditions
name
DeepSWE v1.1
value
66.9
unit
%
source Url
https://huggingface.co/zai-org/GLM-5.3
checked At
2026-09-08T19:28:18Z
attribution
provider-reported
configuration
GLM-5.3; mini-SWE-agent; temperature=0.95; top_p=1; six-hour limit; 400K context.
Arena WebDev Frontend Inspect conditions
name
Arena WebDev Frontend
value
1617
unit
arena_score
source Url
https://arena.ai/leaderboard/code/webdev/frontend
checked At
2026-09-08T19:28:18Z
attribution
benchmark-publisher
configuration
Exact row glm-5.3-max; source results dated 2026-09-05; human preference; confidence interval +/-14; 2315 votes. This is a checked source snapshot, not a newly run September 8 evaluation.

Source reports, measured results, and editorial assessments are separate evidence types. Source dates do not imply a new benchmark run. Capture dates are shown when recorded; otherwise we say the capture date was not recorded. Recorded dates are compared with this catalogue snapshot (Sep 11, 2026), not today’s date.

Method AIS-V2

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Quality claims follow Method AIS-V2.

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