GLM-5.3-Flash
320 billion total, 18 billion active parameters, and MIT license: GLM-5.3-Flash is the open mid-tier variant of Z.AI’s 5.3 family for coding and agentic workloads, with native image and video understanding and one million tokens of context. Hybrid attention keeps the inference footprint moderate despite the overall model size. Reasoning is mandatorily active, weights run locally — the sovereignty risk of the cloud is eliminated.
- Open Weights
- Frontier
- OpenRouter
- Text
- Vision
- Video
- Agentic Orchestrator
- Long Context
- Batch
Sovereign Risk: HIGH Z.AI is headquartered in China, meaning development and potential cloud usage fall under Chinese jurisdiction. The weights are publicly available under the MIT license, enabling local deployment and independent auditing, which significantly reduces sovereignty risk compared to pure cloud operation. For cloud usage, however, Chinese legal and platform risks remain relevant.[web:675][web:677][web:684]
Key metrics
Score · Latency · Cost · Quality
- Total Score Gold
- 80.61
- Routine
- 48.92
- Reasoning
- 31.69
- LLM Judge Avg
- 4.12 / 5
- 100 Coverage
- Avg Task Duration
- 70.05s
- Batch
- Token Rate
- 52.68tok/s
- Output Rate
- P95 Latency
- 212.53s
- Top 5 %
- Total Tokens
- 212600
- Output Volume
- Cost per 1K
- $0.0005
- USD / 1K Requests
- Benchmark Cost
- $0.11
- Total · 212600 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
Token efficiency & latency
Consumption per module vs. model median
Token consumption per module
Performance profile
Key metrics – legend
Score
- Total Score
- Overall score derived from Routine and Reasoning scores. Basis for the fleet rank and tier assignment (Gold / Silver / Bronze).
- Routine
- Score for standard tasks: code generation, text transformation, structured outputs. Weighted by task complexity.
- Reasoning
- Score for analytical and logical tasks: multi-step problem solving, mathematical reasoning, structured argumentation.
- Rank
- Position in the fleet comparison, sorted by Total Score. Refers to the snapshot at the time of testing.
LLM Judge
- LLM Judge Ø
- Average quality rating by an independent judge model on a scale of 1–5.
- Coverage
- Share of tasks for which a judge rating is available. 100% means all responses were evaluated.
Latency & speed
- Avg. Task Duration
- Average time per task from the first to the last token of the response, measured across all benchmark tasks.
- Token Rate
- Output speed in tokens per second. Relevant for interactive applications and real-time streaming.
- P95 Latency
- 95th percentile of response times — shows outliers. Lower values mean fewer long wait times in edge cases.
Cost
- Cost per 1K
- API price per 1,000 output tokens in US dollars. Basis for cost calculation in production use.
- Benchmark Cost
- Total cost for the complete benchmark run of this model.