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Model Details
Domain:
Model Access:
Open weights (unrestricted)
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Introduction
We introduce GLM-5.3-Flash, the first natively multimodal model in the GLM-5 series. With 320B total parameters and just 18B active parameters, it outperforms GLM-5.2 across benchmarks and real-world workloads at one-tenth the price, while approaching Claude Opus 4.8 on coding and agentic benchmarks.
Benchmarking
FLOPs3.24e+24
Notes: 6 * 18e9 active parameters * 30e12 tokens = 3.24e24 FLOP. https://docs.z.ai/guides/vlm/glm-5.3-flash says "Combined with our latest 30T-token multimodal pre-training corpus, these changes let GLM-5.3-Flash produce more intelligence with less compute.", which is not definitive in saying that all 30T tokens were used exactly once; likely confidence.
Parameters
Parameters320000000000
Notes: 320B total, 18B active.