# Scores: https://raw.githubusercontent.com/zai-org/GLM-5/refs/heads/main/resources/bench_53.png
# Open weights: https://huggingface.co/zai-org/GLM-5.3-Flash (MIT, safetensors)
name = "GLM-5.3-Flash"
description = "Native multimodal GLM model for efficient coding and long-horizon agent tasks"
family = "glm-flash"
release_date = "2026-08-26"
last_updated = "2026-08-26"
attachment = true
reasoning = true
temperature = true
tool_call = true
structured_output = true
open_weights = true

[limit]
context = 1_000_000
output = 131_072

[modalities]
input = ["text", "image", "video", "pdf"]
output = ["text"]

[[benchmarks]]
name = "Terminal-Bench"
score = 84.3
metric = "pass@1"
variant = "max effort"
version = "2.1"
harness = "Claude Code 2.1.207"
source = "https://huggingface.co/zai-org/GLM-5.3-Flash"

[[benchmarks]]
name = "DeepSWE"
score = 63.4
metric = "resolved"
variant = "max effort"
version = "1.1"
harness = "mini-swe-agent"
source = "https://huggingface.co/zai-org/GLM-5.3-Flash"

[[benchmarks]]
name = "Agents' Last Exam"
score = 26.3
metric = "score"
variant = "max effort"
source = "https://huggingface.co/zai-org/GLM-5.3-Flash"

[[benchmarks]]
name = "AutomationBench"
score = 48.8
metric = "pass@1"
variant = "max effort"
version = "1.0.6"
source = "https://huggingface.co/zai-org/GLM-5.3-Flash"

[[benchmarks]]
name = "Humanity's Last Exam"
score = 55.3
metric = "accuracy"
variant = "max effort; with tools"
dataset = "full set"
source = "https://huggingface.co/zai-org/GLM-5.3-Flash"

[[benchmarks]]
name = "GDPval-AA"
score = 1773
metric = "Elo"
variant = "max effort"
version = "2"
source = "https://huggingface.co/zai-org/GLM-5.3-Flash"