Identity
- Status
- active
- Developer ID
glm-5.3-flash- Released
- Sep 2, 2026
- Version
- GLM-5.3-Flash
- License
- MIT
GLM-5.3-Flash is a native multimodal model with 320B total and 18B active parameters, a 1M-token context window, and always-on reasoning.
| Provider | Input / 1M | Output / 1M | Cache read / 1M | Cache write / 1M | Observed | Evidence |
|---|---|---|---|---|---|---|
DeepinfraAvailable | $0.15 | $0.50 | $0.030 | — | Sep 2, 2026 | Provider-reported |
Z.aiAvailable | $0.075 | $0.25 | $0.015 | — | Aug 29, 2026 | Provider-reported |
| GLM-5.3-FlashZ.ai | LiveBench2026-06-25 | 73.27 | 34,707 | 1,270 | glm-5.3-flashaverage per case | Recomputedwinner eligible | Third-party benchmark |
| GLM-5.3-FlashZ.ai | LMArena Text Arenatext-2026-09-01-011508720696 | 1,470.91 | — | 4,399 | glm-5.3-flash; 95% CI [1461.80526636, 1480.01283657]; votes 4399; rank 23unknown | Original sourcewinner eligible | Third-party benchmark |
| GLM-5.3-FlashZ.ai | LMArena Vision Arenavision-2026-08-27-011508720696 | 1,296.37 | — | 1,389 | glm-5.3-flash; 95% CI [1279.58251138, 1313.15015420]; votes 1389; rank 15unknown | Original sourcewinner eligible | Third-party benchmark |
At a Glance
glm-5.3-flashThis page represents one immutable developer model ID. Serving endpoints, pricing, regions, quantizations, and service tiers attach separately and never create duplicate model records.
Primary Evidence
Comparable Peers
| A | Pair | B | Context |
|---|---|---|---|
GLM-5.3-FlashZ.ai | vs | DeepSeek-V4-Flash-Vision-ExpDeepSeek | cross-developer peersimage, text |
GLM-5.3-FlashZ.ai | vs | GLM-5V-TurboZ.ai | family variantsimage, text, video |
GLM-5.3-FlashZ.ai | vs | Nova 2 LiteAmazon | cross-developer peersimage, text, video |
GLM-5.3-FlashZ.ai | vs | Mistral Large 3Mistral AI | cross-developer peersimage, text |
GLM-5.3-FlashZ.ai | vs | Command A VisionCohere | cross-developer peersimage, text |
GLM-5.3-FlashZ.ai | vs | GLM-OCRZ.ai | family variantsimage, text |
GLM-5.3-FlashZ.ai | vs | Gemini 3.5 FlashGoogle DeepMind | cross-developer peerstext |
GLM-5.3-FlashZ.ai | vs | Gemini 3 FlashGoogle DeepMind | cross-developer peerstext |
GLM-5.3-FlashZ.ai | vs | GLM-5.3Z.ai | family variantstext |
GLM-5.3-FlashZ.ai | vs | GLM-5.2Z.ai | family variantstext |
GLM-5.3-FlashZ.ai | vs | DeepSeek-V4-FlashDeepSeek | cross-developer peerstext |
GLM-5.3-FlashZ.ai | vs | DeepSeek-V4-Flash-BaseDeepSeek | cross-developer peerstext |
Questions
GLM-5.3-Flash is a native multimodal model with 320B total and 18B active parameters, a 1M-token context window, and always-on reasoning. It is developed by Z.ai and its current sourced lifecycle status is active.
GLM-5.3-Flash's current record lists Text, Image, Video, and Document as input and Text as output.
The current record lists a 1,000,000-token context window and a maximum output of 131,072 tokens.
GLM-5.3-Flash is marked as API-available. The directly sourced provider records currently include Deepinfra and Z.ai.
The current record lists 320,000,000,000 total parameters and 18,000,000,000 active parameters. Its architecture is hybrid_sparse_linear_attention_moe.
GLM-5.3-Flash's recorded capabilities are agents, chat, computer-use, reasoning, structured outputs, tools, and vision. Its supported tasks are coding, computer-use, document-question-answering, image, text, and video.
The lowest directly sourced prices currently attached to GLM-5.3-Flash are $0.075 per million input tokens through Z.ai and $0.25 per million output tokens through Z.ai. Prices are provider-specific and should be checked against each cited observation date.
GLM-5.3-Flash is an open-weight model. Self-hosting is supported, and the recorded license is MIT.
No predecessor is recorded. No successor is recorded. Recorded aliases are glm-5.3-flash, ox-alpha, and zai-org/GLM-5.3-Flash.
The current compatible peer set includes DeepSeek-V4-Flash-Vision-Exp, GLM-5V-Turbo, Nova 2 Lite, Mistral Large 3, and Command A Vision. Compatibility requires shared sourced modalities and tasks; it does not imply that one model is better. Browse model comparisons →