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Model details
GLM 5.3 Flash
GLM 5.3 Flash enters the GLM family as the series' first natively multimodal release, building on GLM 5.2 with stronger general intelligence while keeping serving costs in check. It is built around a 320B total parameter design with 18B activated per pass, making it the first open-source frontier model to blend sparse and linear attention in a hybrid layout. Compared with its GLM 5.3 sibling, that hybrid arrangement cuts attention computation by roughly 3.01x and shrinks KV cache footprint by about 4.44x, which helps preserve precise behavior over very long inputs without paying full attention costs on every token. The combination is positioned as a deliberate move toward coding-grade reasoning at scale-ready economics rather than a raw parameter arms race.
Beyond raw language work, the model integrates visual understanding directly into its coding loop, letting it observe rendered interfaces, interaction feedback, and test results, then iterate on its own output. That makes it well suited to frontend development, game creation, Blender 3D scene work, and broader browser or GUI-driven workflows that mix code, screenshots, and structured documents. It surfaced publicly under the alias "Ox Alpha," where it quietly topped OpenRouter and OpenCode usage charts and drew attention for its benchmark scores before being formally attributed on August 26, 2026. For practitioners, that track record points to a model aimed at professional workflows where multimodal perception, long-context coding, and cost-aware deployment all matter at once.
Quick Info
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- EmpirioLabs AI
- Model key
- glm-5-3-flash
- Release date
- Aug 26, 2026
- Last updated
- Aug 26, 2026
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $0.075
- Output token cost
- $0.25
Limits
- Output tokens
- 131,072 tokens
- Context window
- 1,000,000 tokens
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