GLM-5.3-Flash

Yotta Labs' side-by-side comparison confirms GLM-5.3-Flash shipped on August 26, 2026, twelve days after the API-only GLM 5.3 flagship (August 14, 2026). Flash is built on a 320B-total / 18B-active MoE base trained from a new checkpoint, while the flagship GLM 5.3 sits on the scaled 744B GLM-5.2 base. Flash is the firs The piece highlights that the two launch tables rely on different Terminal-Bench versions (Flash scored 84.3 on Terminal-Bench 2.1, the flagship 28.3 on Terminal-Bench 3.0), making most reported deltas non-comparable. The one shared benchmark, DeepSWE v1.1, shows GLM 5.3 at 66.9 versus Flash at 63.4 and GLM 5.2 at 46.2

Ampere.sh's comparison, citing Artificial Analysis independent testing, records GLM-5.3-Flash at 57 on the Intelligence Index versus 60 for the GLM 5.3 flagship, with Flash activating 18B of its 320B parameters against 40B of 753B for the flagship. Both models ship from Z.ai with a 1M-token context window and reasoning Flash's pricing on the Z.ai API is $0.15 per million input tokens and $0.50 per million output tokens, around one-ninth of the flagship's $1.40 / $4.40 rates, and Flash receives roughly 3x the usable Coding Plan quota. The article recommends Flash as the better value for high-volume applications and multimodal agents (

Z.ai released GLM-5.3-Flash on August 26, 2026 as a 320-billion-parameter mixture-of-experts model that activates 18 billion parameters per token and handles text, images, and video natively within a 1-million-token context window. The release is described as the first natively multimodal member of the GLM-5 series and The architecture is 45 layers deep — roughly half of GLM-5.3's 92 — and interleaves KDA linear-attention layers with NoPE sparse MLA layers. On top of that sits an IndexPool mechanism that compresses key vectors via weighted pooling and Manifold-Constrained Hyper-Connections (mHC) for scaling efficiency, with routing s

GLM-5.3-Flash is Z.ai's (formerly Zhipu AI) new model released 26 August 2026 and the first natively multimodal member of the GLM-5 series, with text and images processed by the same base model rather than a bolted-on vision adapter. It carries 320 billion total parameters with 18 billion active per token, 45 layers (r On reported benchmarks the model beats GLM-5.2 by a wide margin on coding and agentic tests — 63.4 versus 46.2 on DeepSWE — and approaches Claude Opus 4.8 overall at roughly one tenth of GLM-5.2's price. The architectural change is hybrid attention: linear attention carries local dependencies while sparse attention ret

Z.ai has launched GLM-5.3-Flash, the first natively multimodal model in its GLM-5 family, positioned as a lower-cost option for coding, agent tasks, and visual reasoning. The mixture-of-experts model has 320 billion total parameters and 18 billion active parameters, down from 32 billion active parameters in GLM-4.5. Z. The architecture combines linear attention for local dependencies with sparse attention for relevant global context; at context lengths reaching one million tokens, an IndexPool mechanism compresses groups of indexer key vectors to limit latency and memory use. Z.ai reports 3x less attention compute and a 4.4x reductio

LLM Stats tracks GLM-5.3-Flash with a composite LLM Stats Score of 50.3 at a blended price of $0.17 per million tokens, placing it between DeepSeek-V4-Flash-0731 at 44.7 and GPT-6 Astra at 59.9. Capability tiering places the model in the top 10% for tool calling (7 of 193) and in mid-pack across reasoning, chat, vision Individual benchmark entries sourced from Z.ai include GDPval-AA at 1773/3000 (Artificial Analysis, rank 2), CharXiv-R at 0.89/1 with tools (rank 8), and a Terminal-Bench 2.1 entry from Z.ai, the same Terminal-Bench 2.1 score later referenced in independent comparisons. Performance by conversation depth is reported as

Z.ai released GLM-5.3-Flash on August 26, 2026, as a 320 billion-parameter mixture-of-experts model that activates roughly 18 billion parameters per token, runs natively in FP8, and supports a 1,048,576-token context window according to the model's official card. It is the first natively multimodal entry in the GLM-5 s The technical breakdown places GLM-5.3-Flash as a newly trained base model rather than a distilled variant of GLM-5.2, noting that it was released twelve days after the API-only GLM-5.3 flagship (launched August 14, 2026) and that the flagship's promised 744B open-weight drop had not materialized at the time of writing