Try Bifrost Enterprise free for 14 days.
Request access

system.ai.glm-5-3-flash Cost Calculator - Databricks

Calculate the cost of using system.ai.glm-5-3-flash from Databricks for your AI applications

Pricing data last updated:

system.ai.glm-5-3-flash Cost Calculator

Mode: Chat

Max: 1,048,576 tokens

Max: 128,000 tokens

Cost Breakdown

Input Cost$0.00015001
Output Cost$0.00050001
Total Cost$0.00065002

Pricing Details

Input: $0.0000001500 per token
Output: $0.0000005000 per token
[ WE'RE OPEN SOURCE ]

Scale with the Fastest LLM Gateway

Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.

Model Specifications

Capabilities

Vision

Limits

Max Input Tokens1,048,576
Max Output Tokens128,000
Max Tokens1,048,576

About system.ai.glm-5-3-flash

system.ai.glm-5-3-flash is a chat model from Databricks, one of 167 chat models they offer. It is priced at $0.15 per 1M input tokens and $0.50 per 1M output tokens, ranking 807 out of 3639 chat models by cost and cheaper than 78% of models in this category. system.ai.glm-5-3-flash supports vision, prompt caching. Its 1,049K-token context window is in the top 12% among chat models.

Pricing Information

Input Cost$0.15 per 1M tokens
Output Cost$0.50 per 1M tokens

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

Technical Specifications

Maximum Input Tokens1,048,576
Maximum Output Tokens128,000
Maximum Total Tokens1,048,576

Pro Tip

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 128,000 tokens.

Model Capabilities

Vision - Process and understand images
Prompt Caching - Optimize repeated prompts

How system.ai.glm-5-3-flash Pricing Compares

At $0.15 per 1M input tokens and $0.50 per 1M output tokens, system.ai.glm-5-3-flash ranks 807 out of 3639 chat models by input cost. It is more affordable compared to the median of $0.58 for chat models, and is cheaper than 78% of models in this category.

system.ai.glm-5-3-flash is one of 167 Databricks chat models, with support for vision, prompt caching. its 1,049K-token context window places it in the top 12% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs system.ai.glm-5-3-flash
gpt-4o-mini-2024-07-18Azure$0.17$0.66+10%
gpt-4o-miniAzure$0.15$0.600%
GLM-5.3-FlashFriendliAI$0.15$0.500%

Alternatives to system.ai.glm-5-3-flash

Similar chat models from other providers

Azure
gpt-4o-mini-2024-07-18
$0.17/1M input
+10% vs system.ai.glm-5-3-flash
Azure
gpt-4o-mini
$0.15/1M input
0% vs system.ai.glm-5-3-flash
FriendliAI
GLM-5.3-Flash
$0.15/1M input
0% vs system.ai.glm-5-3-flash
Vertex AI
gemini-2.0-flash
$0.15/1M input
0% vs system.ai.glm-5-3-flash
Vertex AI
gemini-2.0-flash-001
$0.15/1M input
0% vs system.ai.glm-5-3-flash

Frequently Asked Questions

Is system.ai.glm-5-3-flash cheaper than gpt-4o-mini-2024-07-18?

Yes. system.ai.glm-5-3-flash costs $0.15 per 1M input tokens compared to gpt-4o-mini-2024-07-18's $0.17 per 1M input tokens, making it 10% more affordable. Both are chat models and share support for vision, function calling, prompt caching, structured output.

How does system.ai.glm-5-3-flash pricing compare to the average chat model?

system.ai.glm-5-3-flash input pricing is $0.15 per 1M tokens, which is 74% below the median of $0.58 for chat models. It ranks 807 out of 3639 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 $1.66.

What makes system.ai.glm-5-3-flash different from other Databricks models?

Among Databricks's 167 chat models, system.ai.glm-5-3-flash ranks 17 by input cost.

What are the best alternatives to system.ai.glm-5-3-flash?

The most comparable chat models to system.ai.glm-5-3-flash are: gpt-4o-mini-2024-07-18 from Azure ($0.17/1M input tokens); gpt-4o-mini from Azure ($0.15/1M input tokens); GLM-5.3-Flash from FriendliAI ($0.15/1M input tokens); gemini-2.0-flash from Vertex AI ($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.

How large is system.ai.glm-5-3-flash's context window?

system.ai.glm-5-3-flash supports up to 1,048,576 input tokens, placing it in the top 12% of chat models by context window size (rank 389 of 3346). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I calculate system.ai.glm-5-3-flash costs?

system.ai.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.