GLM-5.3-Flash (EXL3 High)

GLM-5.3-Flash is a multimodal open-weight model by Z.AI. As a Mixture-of-Experts (MoE) architecture with 320B total and 18B active parameters, it combines efficiency with high performance. It supports a context window of 1 million tokens and processes text, image, and video inputs. The model is particularly optimized for complex agentic and coding tasks and is available under a permissive MIT license.

Zhipu AI Version 5.3-Flash Commercial use permitted MoE 320 B (18 B active) 1000 K Context locally tested

Open Weights
Server
vLLM
Text
Vision
Video
Agentic Orchestrator
Long Context
Interactive

Sovereign Risk: MEDIUM The model was developed by Z.AI, a company headquartered in China (CN). The risk is classified as ‘medium’ rather than ‘high’ because the weights have been released under the very permissive MIT license. This reduces vendor dependency and mitigates some of the risks associated with Chinese jurisdiction. Nevertheless, a residual risk remains regarding training data provenance and potential regulatory influences.

Tool-use profile: 6 assets in detail

Comparison of asset performance (P1/P2/Combined) against the fleet average

Asset performance (radar)

Score Breakdown vs. Fleet Average

Tool-use details

Asset performance, reliability, and runtime profile

Name	P1	P2	Combined
EU License Research	100	40	64
HTTP Fetch & Extract	80	100	90
Tool Failure Handling (404)	80	80	80
Web Search & Tool Selection	35	20	28.3
URL Construction & Fetch	80	80	80
Multilingual Search & Synthesis	100	60	80

CrucibleMark evaluates tool use across 6 independent tests. Click a test name for details.

Reliability

Tool Call Valid: No
Retry: Not required
Hallucination: Not detected

Reliability measures how consistently a model actually executes tool calls: Tool Call Valid schema and format accepted, Retry Required successful only after retry, Hallucination Flag fabricated tools or parameters detected. All three green means production-ready.

Runtime profile

Call 1: 10.63; First Request

MCP: 0.76; Protocol Latency

Synthesis: 24.32; Response Generation

Total: 214.21; Sum of All Phases

Token: 11561; Input + Output

Cost: $0; Cost per Run

The runtime profile shows the latency and cost metrics for the model run: Call 1 First Request, MCP Protocol Latency, Synthesis Response Generation, Total sum of all phases, supplemented by Token input and output and Cost cost per run.

Tool-use profile

GLM-5.3-Flash (EXL3 High) achieves a Combined Score of 70.4 (Good) in the tool-use benchmark: P1 Execution 79.2, P2 Synthesis 63.3, fleet average 68.5.

Strongest test: Web Search & Tool Selection (28.3). Weakest test: HTTP Fetch & Extract (90). The spread between these two tests is -61.7 points.

Reliability status: Tool Call Valid No, Retry Not required, Hallucination Not detected.

This data-driven auto-review is compiled from the available tool-use benchmark data. Once a detailed LLM-generated analysis (GPT-5.4) is available, it will automatically replace this template. The raw data and full methodology are documented in the GitHub project.