GLM 4.5V
Provider：Z.ai (Zhipu)
GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding,...
Key specs
- Context：65.5K
- Max output：16.4K
- Tokenizer：Other
- Released：2025-08-11
Token pricing
- Input price：$0.600 / 1M tokens
- Output price：$1.80 / 1M tokens
- Cache read：$0.110 / 1M tokens
- Blended price：$0.900 / 1M tokens
Modalities
Text, Image
Use Cases
- Deep Reasoning & Analysis：Math proofs, logical reasoning, multi-step planning — ideal for research and financial analysis.（≈ $0.014/call）
- Vision Understanding & Generation：Recognize data trends in charts, OCR scanned docs, analyze photos and produce structured reports.（≈ $0.011/call）
- Chat & Support：FAQ auto-response, multi-turn dialogue, emotion detection — e-commerce, finance, gov.（≈ $0.0036/call）
When to pick this model
Signals derived from public pricing and spec fields — not a benchmark. Validate with official docs and your own eval.
- Multimodal (text+image): fit for image captioning, OCR, chart QA, vision-grounded reasoning.
FAQ
- What is the token pricing of GLM 4.5V? Input price $0.600 / 1M tokens, output price $1.80 / 1M tokens, blended about $0.900 / 1M tokens. Refer to Z.ai (Zhipu)’s official page for the exact rate.
- What context window does GLM 4.5V support? Context window is 65.5K, max output about 16.4K, suitable for long documents, multi-turn chat and complex reasoning.
- What scenarios is GLM 4.5V best for? Based on its capability and pricing, GLM 4.5V 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 4.5V support? Supports Text, Image modality.
- Is GLM 4.5V a free model? GLM 4.5V is billed per token, not a free model.
- Which provider offers GLM 4.5V? GLM 4.5V is offered by Z.ai (Zhipu).
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Full info：GLM 4.5V