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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
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Model Specifications

Capabilities

Function Calling
Vision
Reasoning

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 108 chat models they offer. It is priced at $0.15 per 1M input tokens and $0.50 per 1M output tokens, ranking 734 out of 3254 chat models by cost and cheaper than 77% of models in this category. system.ai.glm-5-3-flash supports vision, function calling, reasoning, prompt caching. Its 1,049K-token context window is in the top 10% 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

Function Calling - Execute custom functions and tools
Vision - Process and understand images
Advanced Reasoning - Complex problem-solving capabilities
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 734 out of 3254 chat models by input cost. It is more affordable compared to the median of $0.52 for chat models, and is cheaper than 77% of models in this category.

system.ai.glm-5-3-flash is one of 108 Databricks chat models, with support for vision, function calling, reasoning, prompt caching. its 1,049K-token context window places it in the top 10% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs system.ai.glm-5-3-flash
GLM-5.3-FlashFriendliAI$0.15$0.500%
mimo-v2.5OpenRouter$0.14$0.28-7%
GLM-5.3-FlashTogether AI$0.15$0.500%

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

Similar chat models from other providers

FriendliAI
GLM-5.3-Flash
$0.15/1M input
0% vs system.ai.glm-5-3-flash
OpenRouter
mimo-v2.5
$0.14/1M input
-7% vs system.ai.glm-5-3-flash
Together AI
GLM-5.3-Flash
$0.15/1M input
0% vs system.ai.glm-5-3-flash
Novita
mimo-v2.5
$0.17/1M input
+12% vs system.ai.glm-5-3-flash
DeepInfra
Qwen3.5-35B-A3B
$0.14/1M input
-7% vs system.ai.glm-5-3-flash

Frequently Asked Questions

Is system.ai.glm-5-3-flash cheaper than GLM-5.3-Flash?

No. system.ai.glm-5-3-flash costs $0.15 per 1M input tokens while GLM-5.3-Flash costs $0.15 per 1M input tokens, making GLM-5.3-Flash 0% more affordable for input. However, system.ai.glm-5-3-flash may offer different capabilities or performance characteristics that justify the price difference.

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 71% below the median of $0.52 for chat models. It ranks 734 out of 3254 chat models by input cost, making it cheaper than 77% of models in this category. For output, it costs $0.50 per 1M tokens compared to the median of $1.50.

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

Among Databricks's 108 chat models, system.ai.glm-5-3-flash ranks 11 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: GLM-5.3-Flash from FriendliAI ($0.15/1M input tokens); mimo-v2.5 from OpenRouter ($0.14/1M input tokens); GLM-5.3-Flash from Together AI ($0.15/1M input tokens); mimo-v2.5 from Novita ($0.17/1M 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 10% of chat models by context window size (rank 293 of 3025). 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.