Calculate the cost of using databricks-glm-5-3-flash from Databricks for your AI applications
Pricing data last updated:
Mode: Chat
Max: 1,048,576 tokens
Max: 131,072 tokens
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databricks-glm-5-3-flash is a chat model from Databricks, one of 127 chat models they offer. It is priced at $0.15 per 1M input tokens and $0.50 per 1M output tokens, ranking 900 out of 4040 chat models by cost and cheaper than 78% of models in this category. databricks-glm-5-3-flash supports vision, function calling, reasoning, prompt caching. Its 1,049K-token context window is in the top 15% among chat models.
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 1,048,576 input tokens. The maximum output length is 131,072 tokens.
At $0.15 per 1M input tokens and $0.50 per 1M output tokens, databricks-glm-5-3-flash ranks 900 out of 4040 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 78% of models in this category.
databricks-glm-5-3-flash is one of 127 Databricks chat models, with support for vision, function calling, reasoning, prompt caching. its 1,049K-token context window places it in the top 15% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs databricks-glm-5-3-flash |
|---|---|---|---|---|
| qwen3.8-flash | Dashscope | $0.15 | $0.47 | 0% |
| qwen3.8-omni-flash | Dashscope | $0.15 | $0.47 | 0% |
| qwen3.8-flash | Qwen Ai Platform | $0.15 | $0.47 | 0% |
Similar chat models from other providers
No. databricks-glm-5-3-flash costs $0.15 per 1M input tokens while qwen3.8-flash costs $0.15 per 1M input tokens, making qwen3.8-flash 0% more affordable for input. However, databricks-glm-5-3-flash may offer different capabilities or performance characteristics that justify the price difference.
databricks-glm-5-3-flash input pricing is $0.15 per 1M tokens, which is 75% below the median of $0.60 for chat models. It ranks 900 out of 4040 chat models by input cost, making it cheaper than 78% of models in this category. For output, it costs $0.50 per 1M tokens compared to the median of $1.80.
Among Databricks's 127 chat models, databricks-glm-5-3-flash ranks 11 by input cost.
The most comparable chat models to databricks-glm-5-3-flash are: qwen3.8-flash from Dashscope ($0.15/1M input tokens); qwen3.8-omni-flash from Dashscope ($0.15/1M input tokens); qwen3.8-flash from Qwen Ai Platform ($0.15/1M input tokens); qwen3.8-omni-flash from Qwen Ai Platform ($0.15/1M 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.
databricks-glm-5-3-flash supports up to 1,048,576 input tokens, placing it in the top 15% of chat models by context window size (rank 150 of 3774). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
databricks-glm-5-3-flash 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 $0.15 and generating 1M output tokens costs $0.50.