Calculate the cost of using GLM-4.5V from Hugging Face for your AI applications
Pricing data last updated:
Mode: Chat
Max: 65,536 tokens
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GLM-4.5V is a chat model from Hugging Face, one of 182 chat models they offer. It is priced at $0.60 per 1M input tokens and $1.80 per 1M output tokens, ranking 1454 out of 2628 chat models by cost and cheaper than 45% of models in this category. GLM-4.5V supports vision, function calling. It accepts up to 66K input tokens.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 65,536 input tokens.
At $0.60 per 1M input tokens and $1.80 per 1M output tokens, GLM-4.5V ranks 1454 out of 2628 chat models by input cost. It is more expensive compared to the median of $0.50 for chat models, and is cheaper than 45% of models in this category.
GLM-4.5V is one of 182 Hugging Face chat models, with support for vision, function calling.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs GLM-4.5V |
|---|---|---|---|---|
| gpt-5.4-mini | Azure | $0.75 | $4.50 | +25% |
| gpt-5.4-mini-2026-03-17 | Azure | $0.75 | $4.50 | +25% |
| kimi-k2.5 | Azure | $0.60 | $3.00 | 0% |
Similar chat models from other providers
Yes. GLM-4.5V costs $0.60 per 1M input tokens compared to gpt-5.4-mini's $0.75 per 1M input tokens, making it 25% more affordable. Both are chat models and share support for vision, function calling, reasoning, web search, prompt caching, structured output.
GLM-4.5V input pricing is $0.60 per 1M tokens, which is 20% above the median of $0.50 for chat models. It ranks 1454 out of 2628 chat models by input cost, making it cheaper than 45% of models in this category. For output, it costs $1.80 per 1M tokens compared to the median of $1.44.
Among Hugging Face's 182 chat models, GLM-4.5V ranks 143 by input cost.
The most comparable chat models to GLM-4.5V are: gpt-5.4-mini from Azure ($0.75/1M input tokens); gpt-5.4-mini-2026-03-17 from Azure ($0.75/1M input tokens); kimi-k2.5 from Azure ($0.60/1M input tokens); kimi-k2.6 from Azure ($0.60/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.
You can monitor Hugging Face service health in real time on the Bifrost Hugging Face Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
GLM-4.5V is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.60 and generating 1M output tokens costs $1.80.