ox-alpha out of stealth! GLM-5.3 Flash is Z.ai's first natively multimodal GLM-5 model, with 320B total parameters and just 18B active parameters for efficient coding, agentic work, and precise 1M-token context. Its hybrid sparse-and-linear attention architecture helps it outperform GLM-5.2 at one-tenth the price while approaching Claude Opus 4.8 on coding and agentic benchmarks.
Added Aug 26, 2026
Model weightsContext Window
1.0M
Max Output
131.1K
Avg output tokens (7d)
1.2K tokens
Input Price (Auto)
$0.075/1M
Output Price (Auto)
$0.25/1M
Cache Read (Auto)
$0.015/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
41.9
Coding Index
71.5
Agentic Index
51.2
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
60.4%
Better than 93% of models compared
AutomationBench-AA Tasks Completed
Fully completed workflows without guardrail violations
25.4%
Better than 43% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
1449 Elo
Better than 86% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
1655 Elo
Better than 96% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
15.4%
Better than 64% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
80.0%
Better than 89% of models compared
Reasoning
HLE
Humanity's Last Exam
39.9%
Better than 91% of models compared
CritPt
Research-level physics reasoning
15.4%
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
32.8%
Better than 87% of models compared
SciCode
Python programming for scientific computing
51.6%
Better than 67% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
27.5%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
27.6%
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
91.2%
Better than 92% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
80.0%
Better than 89% of models compared
GDPval-AA (unversioned / legacy)
Economically valuable tasks
57.7%
Last updated Sep 15, 2026
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