Z.ai GLM 5.3 Flash
Z.aiBalanced
ThinkingTool UseVisionStructured Output
About this model
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...
Performance Tier
Balanced
Z.ai GLM 5.3 Flash is a balanced model from Z.ai : strong performance at a reasonable price.
Strong cost-performance ratio. Reliable for most professional use cases without premium pricing.
Pricing
This model is included in Elosia plansEco
Minimal cost. Ideal for very high volume or simple tasks.
| Type | per 1M tokens |
|---|---|
| Input (prompt) | $0.048 |
| Output (completion) | $0.200 |
| Cache read | $0.0060 |
Capabilities
Context Length1.0M
Max Output Tokens944K
TokenizerOther
Inputtext, image, video
Outputtext
Release DateAugust 26, 2026
Benchmarks
General Intelligence
MMLU
Not reported
GPQA Diamond
91.2%
Mathematics
MATH-500
Not reported
Programming
HumanEval
Not reported
Reasoning
Humanity's Last Exam
39.9%
Agentic
Terminal-Bench 2.1
84.3%
Where does Z.ai GLM 5.3 Flash stand?
Compare its performance index against every other model.
Recommended Use Cases
CodingAnalysisData ExtractionGeneral Chat
Strengths
- Mixture of experts with 320B total and 18B active parameters, trained from a redesigned base
- Hybrid sparse and linear attention, which sharply cuts attention compute and KV cache at long context while keeping precise recall
- Natively multimodal: accepts images and video alongside text
- 1M-token context window
- Open weights under the MIT license, with serving support in vLLM, SGLang and Transformers
Limitations
- Thinking cannot be disabled and defaults to maximum effort, which adds latency on simple calls
- Z.ai publishes no GPQA Diamond or no-tools Humanity's Last Exam score; the ones shown come from third-party tests
- Text output only
Frequently asked questions
Resources
This model may use your data for training
