GLM-5.3 Flash
ActiveUnknownzai-org/GLM-5.3-Flash·zai-org · MIT · updated 2026-08-26
Low costGeneral purposeLong context
Overview
320B MoE, 18B active, MIT. The cheap default for classification and extraction.
Use cases: Low cost · General purpose · Long contextContext1,048,576
Max output16,384
QuantizationFP8
Capabilities
ToolsParallel toolsStructured outputStreamReasoningCacheBatchVision
GridPort billing priceUSD / 1M tokens
UnitStandardBatch
Input tokens$0.15$0.075
Cached input$0.030—
Output tokens$0.50$0.250
Live metricslast hour
Last hour of customer requests; each metric needs at least 20 valid samples.Samples this hour: 0 for TTFT, 0 for throughput · as of 2026-10-07 00:34 EDT
TTFT p50—
Throughput p50—
Success rate—
Routes2 · failover on
import os from openai import OpenAI client = OpenAI( base_url="https://gridport.ai/v1", api_key=os.environ["GRIDPORT_API_KEY"], ) stream = client.chat.completions.create( model="zai-org/GLM-5.3-Flash", # pin a version: "zai-org/GLM-5.3-Flash@2026-08-26" messages=[{"role": "user", "content": "Hello"}], stream=True, ) for chunk in stream: if chunk.choices and chunk.choices[0].delta.content: print(chunk.choices[0].delta.content, end="", flush=True) print()
Known limits
01Prompt cache belongs to a route: a failover to the backup route starts with a cold cache.02Rate limits apply per organization, project and key, and per model where one is set; the strictest applies.03Streaming responses carry usage in the final chunk only when stream_options.include_usage is set.
Versions
VersionStatusReleasedRetires
2026-08-26defaultActiveReleased 2026-08-26Retires —