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GLM-5.3

Canonical page on the main site: chinaaihub.com/models/glm-53

Provider

zhipu-ai

Model Family

GLM-5

Release Date

2026-08-18

Status

active

Architecture

744B total / 40B active (open-weight FP8); same base model as GLM-5.2 with post-training gains

Parameter Information

  • total_parameters: 744B
  • active_parameters: 40B
  • parameter_precision: FP8 (BF16 variant also released)

Context Window

1048576

Maximum Output

131072

Capabilities

  • reasoning: Yes
  • coding: Yes
  • vision: No

Open Weight

Yes

License

Apache-2.0 (per GitHub repo metadata; README has no separate weights-license section - verify per-model HF cards before reuse)

Self Hosting

Yes

Api Available

Yes

Pricing

  • input_price_per_1m: 1.4
  • output_price_per_1m: 4.4
  • currency: USD
  • pricing_ref: zhipu-ai

Official Api

Yes

Cloud Providers

  • Z.ai
  • BigModel

Regions

  • international
  • china

Benchmark Results

benchmark score metric date source_type source_url
Terminal-Bench 3.0 28.3 accuracy 2026-08-18 vendor_reported https://docs.z.ai/guides/llm/glm-5.3
DeepSWE v1.1 66.9 accuracy 2026-08-18 vendor_reported https://docs.z.ai/guides/llm/glm-5.3
Agents' Last Exam (CLI) 28.5 accuracy 2026-08-18 vendor_reported https://docs.z.ai/guides/llm/glm-5.3
CyberGym 84.5 accuracy 2026-08-18 vendor_reported https://docs.z.ai/guides/llm/glm-5.3

Known Limitations

  • Text-only input
  • Reasoning always enabled (low/high/max, default max); cannot be disabled
  • Z.ai Code Bench is a private in-house benchmark
  • Benchmarks vendor-reported; not independently verified

Last Verified

2026-09-20

Sources

source_name source_url source_type last_verified confidence
Z.ai docs — GLM-5.3 model page https://docs.z.ai/guides/llm/glm-5.3 official 2026-09-20 high
Z.ai pricing https://docs.z.ai/guides/overview/pricing official 2026-09-20 high
GLM-5 GitHub repository https://github.com/zai-org/GLM-5 official 2026-09-20 high