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GLM-5.3-Flash

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

Type

model

Definition

GLM-5.3-Flash is a Zhipu AI model in the GLM-5.3-Flash family: 320B total / 18B active; first open-source frontier model combining sparse + linear attention; mHC hyper-connections; 30T-token multimodal pre-training corpus; 1,048,576-token context window; 131,072 max output; open-weight; Apache-2.0 (per GitHub repo metadata; README has no separate weights-license section - verify per-model HF cards before reuse) license; released 2026-08-26.

Key facts

  • Architecture: 320B total / 18B active; first open-source frontier model combining sparse + linear attention; mHC hyper-connections; 30T-token multimodal pre-training corpus
  • Context window: 1,048,576 tokens (max output 131,072)
  • Weights: open; Apache-2.0 (per GitHub repo metadata; README has no separate weights-license section - verify per-model HF cards before reuse) license
  • API pricing: $0.15 input / $0.5 output per 1M tokens (USD)
  • Released: 2026-08-26
  • Capabilities: reasoning, coding, vision

Provider

zhipu-ai

Model Family

GLM-5.3-Flash

Version

Flash

Release Date

2026-08-26

Status

active

Architecture

320B total / 18B active; first open-source frontier model combining sparse + linear attention; mHC hyper-connections; 30T-token multimodal pre-training corpus

Parameter Information

  • total_parameters: 320B
  • active_parameters: 18B

Context Window

1048576

Maximum Output

131072

Capabilities

  • reasoning: Yes
  • coding: Yes
  • vision: Yes
  • video: Yes
  • computer_use: Yes
  • agent_capability: Yes

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: 0.15
  • output_price_per_1m: 0.5
  • 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
Artificial Analysis Intelligence Index v4.1.1 57 index score 2026-08-26 vendor_reported https://docs.z.ai/guides/vlm/glm-5.3-flash
DeepSWE v1.1 63.4 accuracy 2026-08-26 vendor_reported https://docs.z.ai/guides/vlm/glm-5.3-flash
AutomationBench 48.8 accuracy 2026-08-26 vendor_reported https://docs.z.ai/guides/vlm/glm-5.3-flash

Known Limitations

  • Reasoning always enabled; cannot be disabled
  • Z.ai Code Bench is a private in-house benchmark
  • Benchmarks vendor-reported; not independently verified

Verification Status

verified

License Changes

No documented license changes on record as of 2026-09-29.

Last Verified

2026-09-20

Source history

No documented source-change events located as of 2026-09-20.

Sources

evidence_id source_name source_url source_type published verified confidence conflict
src-models-glm-5.3-flash-1 Z.ai docs — GLM-5.3-Flash model page https://docs.z.ai/guides/vlm/glm-5.3-flash Official documentation — 2026-09-20 high —
src-models-glm-5.3-flash-2 Z.ai pricing https://docs.z.ai/guides/overview/pricing Official documentation — 2026-09-20 high —
src-models-glm-5.3-flash-3 GLM-5 GitHub repository https://github.com/zai-org/GLM-5 Official documentation — 2026-09-20 high —