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 understandin…
Model details →Z.ai: GLM 4.5V vs Anthropic Claude Haiku Latest
Z.ai: GLM 4.5V wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
This model always redirects to the latest model in the Anthropic Claude Haiku family.
Model details →Side-by-side comparison
| Capability | Z.ai: GLM 4.5V | Anthropic Claude Haiku Latest | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 66K | 200K | 🏆 Anthropic Claude Haiku Latest |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.60 | $1.00 | 🏆 Z.ai: GLM 4.5V |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $1.80 | $5.00 | 🏆 Z.ai: GLM 4.5V |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is Z.ai: GLM 4.5V better than Anthropic Claude Haiku Latest?
Z.ai: GLM 4.5V wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Z.ai: GLM 4.5V and Anthropic Claude Haiku Latest?
Input: $0.60 vs $1.00 per 1M tokens. Output: $1.80 vs $5.00 per 1M tokens.
What context windows do Z.ai: GLM 4.5V and Anthropic Claude Haiku Latest support?
Z.ai: GLM 4.5V supports up to 66K tokens. Anthropic Claude Haiku Latest supports up to 200K tokens.
Do both Z.ai: GLM 4.5V and Anthropic Claude Haiku Latest support tool calling?
Z.ai: GLM 4.5V: yes. Anthropic Claude Haiku Latest: yes.
Compare Z.ai: GLM 4.5V with other models
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