GLM 5.3 Flash (batch)
GLM 5.3 Flash · Batch tier (Batch)
Asynchronous batch tier: discounted offline batch requests with high throughput and relaxed latency — ideal for large-scale non-real-time workloads.
Best for: Large-scale offline inference, cost-sensitive batch jobs, backfills
This page covers the GLM 5.3 Flash Batch tier, sharing the underlying model capability with its real-time standard tier; the main difference is in billing mode and invocation method. See the GLM 5.3 Flash standard real-time tier.
Provider：Z.ai (Zhipu)
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...
Key specs
- Context：1M
- Max output：943.7K
- Tokenizer：Other
- Released：2026-08-26
Token pricing
- Input price：$0.150 / 1M tokens
- Output price：$0.500 / 1M tokens
- Cache read：$0.030 / 1M tokens
- Blended price：$0.237 / 1M tokens
Modalities
Text, Image, Video
Use Cases
- Deep Reasoning & Analysis：Process long legal docs, academic papers, financial reports; multi-hop reasoning and evidence-chain tracing across huge contexts.（≈ $0.0040/call）
- Vision Understanding & Generation：Recognize data trends in charts, OCR scanned docs, analyze photos and produce structured reports.（≈ $0.0030/call）
- Chat & Support：FAQ auto-response, multi-turn dialogue, emotion detection — e-commerce, finance, gov.（≈ $0.0025/turn）
When to pick this model
Signals derived from public pricing and spec fields — not a benchmark. Validate with official docs and your own eval.
- Low input + output price: solid fit for high-frequency calls and batch processing.
- Low blended price: budget-friendly for fleet-scale deployment.
- Long context (>=1M tokens): well-suited for long-doc QA, code-base analysis, multi-turn agents.
- Long max output (>=30K tokens): strong fit for deep report / essay / document-drafting workflows.
- Multimodal (text+image): fit for image captioning, OCR, chart QA, vision-grounded reasoning.
- Video input support: fit for video understanding, frame QA, content moderation.
FAQ
- What is the token pricing of GLM 5.3 Flash (batch)? Input price $0.150 / 1M tokens, output price $0.500 / 1M tokens, blended about $0.237 / 1M tokens. Refer to Z.ai (Zhipu)’s official page for the exact rate.
- What context window does GLM 5.3 Flash (batch) support? Context window is 1M, max output about 943.7K, suitable for long documents, multi-turn chat and complex reasoning.
- What scenarios is GLM 5.3 Flash (batch) best for? Based on its capability and pricing, GLM 5.3 Flash (batch) fits best: Deep Reasoning & Analysis, Vision Understanding & Generation, Chat & Support. See the Use Cases section for details and cost estimates.
- What input/output modalities does GLM 5.3 Flash (batch) support? Supports Text, Image, Video modality.
- Is GLM 5.3 Flash (batch) a free model? GLM 5.3 Flash (batch) is billed per token, not a free model.
- Which provider offers GLM 5.3 Flash (batch)? GLM 5.3 Flash (batch) is offered by Z.ai (Zhipu).
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Full info：GLM 5.3 Flash (batch)