GLM-5.3 Flash: benchmark results
Zhipu's open-weight GLM-5.3-Flash (August 20, 2026), the first natively multimodal model in the GLM-5 series, with 320B total and 18B active parameters and a new hybrid sparse-linear attention architecture. Provider: Zhipu. Released 2026-08-20. Access: Open.
Aggregate Rating 1800 ± 5, rank #65 of 1656 rated models, from 759 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| IndicBankBench - Confusing Intent | 71.7 | Strict pass^3 (%; 53 cases passed out of the 53 cases of the | 100 |
| IndicBankBench - Context Switching | 84.09 | Strict pass^3 (%; 44 cases passed out of the 44 cases of the | 100 |
| LLM Stats (MMVU) | 80.5 | Score (%) | 100 |
| LLM Stats (MVBench) | 77.8 | Score (%) | 100 |
| LLM Stats (Toolathlon - Verified protocol) | 78.4 | Score (%) | 100 |
| NVIDIA Nemotron 3.5 Super VL Card - AA-Omniscience index | 14.3 | Omniscience index | 100 |
| NVIDIA Nemotron 3.5 Super VL Card - DeepSWE [offline] | 57.77 | Score (%) | 100 |
| NVIDIA Nemotron 3.5 Super VL Card - GDPval-AA v2 | 1563 | Elo | 100 |
| NVIDIA Nemotron 3.5 Super VL Card - LMArena v3 proxy | 61 | Score (%) | 100 |
| NVIDIA Nemotron 3.5 Super VL Card - SWE-bench Multilingual | 78.3 | Score (%) | 100 |
| NVIDIA Nemotron 3.5 Super VL Card - SWE-bench Verified | 79.1 | Score (%) | 100 |
| NVIDIA Nemotron 3.5 Super VL Card - SciCode, subtask | 50.05 | Score (%) | 100 |
Interactive version: theaggregate.ai/model?slug=glm-5-3-flash · How It Works · Data refreshed daily, snapshot 2026-10-20.