Z.ai
Chat with GLM 5.3 Flash online
Screenshots, video and a million tokens, at Flash speed and Flash prices.
1.048576M tokens
컨텍스트
131,072 tokens
최대 출력
빠름
속도
이럴 때 활용하세요
Screenshots and diagrams
Hand it a picture of the problem instead of describing it.
High-volume agent loops
Cheap enough to run all day, accurate across long contexts.
Everyday coding
Fast iterations with a million tokens of project context.
Long document sets
Read a lot at once and keep it straight.
Prompts to steal
Tuned to this model — click any line to copy.
GLM 5.3 Flash 소개
GLM 5.3 Flash is the cheap, fast, multimodal member of Z.ai's GLM 5.3 family, released in August 2026. Where GLM 5.3 is text-only and built for the hardest engineering problems, Flash takes images and video as native input, holds about a million tokens of context, and costs a small fraction as much per message. On NinjaChat it is included in every plan.
The interesting engineering is in how it holds that context. Z.ai used a hybrid of sparse and linear attention, which is what lets a Flash-class model keep accurate behavior across a very long conversation instead of degrading in the back half. In practice that means you can keep a long agent run, a large document set, or a full afternoon of debugging in one thread without starting over.
Because it reads images and video, it fits work the text models cannot take at all: a screenshot of a failing UI, a diagram of a system you want explained, a recording you want summarized into steps. It calls tools too, so it can drive an agent loop rather than only describing what to do.
Reach for GLM 5.3 when the problem is genuinely hard and text-only. Reach for Flash when you need volume, speed, or eyes.
GLM 5.3 Flash 사용 방법
1분 안에 첫 결과물까지.
01
Create a NinjaChat account and choose a plan
02
Open chat and pick GLM 5.3 Flash from the model list
03
Attach screenshots, diagrams or video alongside your question
04
Keep the whole job in one thread; the context holds
05
Escalate to GLM 5.3 when a problem needs more depth
더 나은 결과를 위한 팁
- Paste the screenshot rather than describing the error
- Use it for the iterations and 5.3 for the final call
- Give it the whole document set at once
- Ask for structured output when the answer feeds a pipeline
GLM 5.3 Flash vs 다른 대안들
{model}이 앞서는 부분과 그렇지 않은 부분, 솔직하게 비교합니다.
vs GLM 5.3
모델 보기Reads images and video, and costs far less per message
5.3 goes deeper on hard, text-only engineering
vs Qwen 3.8 Flash
모델 보기Hybrid attention tuned for accurate long-context behavior
Qwen 3.8 Flash is a close competitor at a similar price
vs Gemini 3.7 Flash
모델 보기Open-weight lineage and lower cost per message
Gemini brings Google's ecosystem and tooling
