Z.ai
Chat with GLM 5.3 Flash online
Screenshots, video and a million tokens, at Flash speed and Flash prices.
1.048576M tokens
コンテキスト
131,072 tokens
最大出力
高速
速度
こんな用途に最適
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について
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の使い方
ゼロから最初の結果まで、1分もかかりません。
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
より良い結果を得るためのヒント
- 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と他のモデルを比較
正直な比較 — {model}が優れている点と、そうでない点。
GLM 5.3と比較
モデルを見るReads images and video, and costs far less per message
5.3 goes deeper on hard, text-only engineering
Qwen 3.8 Flashと比較
モデルを見るHybrid attention tuned for accurate long-context behavior
Qwen 3.8 Flash is a close competitor at a similar price
Gemini 3.7 Flashと比較
モデルを見るOpen-weight lineage and lower cost per message
Gemini brings Google's ecosystem and tooling
