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system.ai.inkling Cost Calculator - Databricks

Calculate the cost of using system.ai.inkling from Databricks for your AI applications

Pricing data last updated:

system.ai.inkling Cost Calculator

Mode: Chat

Max: 524,288 tokens

Max: 471,859 tokens

Cost Breakdown

Input Cost$0.001000
Output Cost$0.004050
Total Cost$0.005050

Pricing Details

Input: $0.00000100 per token
Output: $0.00000405 per token
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Model Specifications

Capabilities

Function Calling
Vision
Reasoning

Limits

Max Input Tokens524,288
Max Output Tokens471,859
Max Tokens471,859

About system.ai.inkling

system.ai.inkling is a chat model from Databricks, one of 108 chat models they offer. It is priced at $1.00 per 1M input tokens and $4.05 per 1M output tokens, ranking 2181 out of 3254 chat models by cost and cheaper than 33% of models in this category. system.ai.inkling supports vision, function calling, reasoning, prompt caching. Its 524K-token context window is in the top 22% among chat models.

Pricing Information

Input Cost$1.00 per 1M tokens
Output Cost$4.05 per 1M tokens

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

Technical Specifications

Maximum Input Tokens524,288
Maximum Output Tokens471,859
Maximum Total Tokens471,859

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 524,288 input tokens. The maximum output length is 471,859 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.inkling Pricing Compares

At $1.00 per 1M input tokens and $4.05 per 1M output tokens, system.ai.inkling ranks 2181 out of 3254 chat models by input cost. It is more expensive compared to the median of $0.52 for chat models, and is cheaper than 33% of models in this category.

system.ai.inkling is one of 108 Databricks chat models, with support for vision, function calling, reasoning, prompt caching. its 524K-token context window places it in the top 22% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs system.ai.inkling
anthropic.claude-haiku-4-5-20251001-v1:0AWS Bedrock$1.00$5.000%
anthropic.claude-haiku-4-5@20251001AWS Bedrock$1.00$5.000%
apac.anthropic.claude-haiku-4-5-20251001-v1:0AWS Bedrock$1.10$5.50+10%

Alternatives to system.ai.inkling

Similar chat models from other providers

AWS Bedrock
anthropic.claude-haiku-4-5-20251001-v1:0
$1.00/1M input
0% vs system.ai.inkling
AWS Bedrock
anthropic.claude-haiku-4-5@20251001
$1.00/1M input
0% vs system.ai.inkling
AWS Bedrock
apac.anthropic.claude-haiku-4-5-20251001-v1:0
$1.10/1M input
+10% vs system.ai.inkling
Azure
claude-haiku-4-5
$1.00/1M input
0% vs system.ai.inkling
Azure
gpt-5.1
$1.25/1M input
+25% vs system.ai.inkling

Frequently Asked Questions

Is system.ai.inkling cheaper than anthropic.claude-haiku-4-5-20251001-v1:0?

No. system.ai.inkling costs $1.00 per 1M input tokens while anthropic.claude-haiku-4-5-20251001-v1:0 costs $1.00 per 1M input tokens, making anthropic.claude-haiku-4-5-20251001-v1:0 0% more affordable for input. However, system.ai.inkling may offer different capabilities or performance characteristics that justify the price difference.

How does system.ai.inkling pricing compare to the average chat model?

system.ai.inkling input pricing is $1.00 per 1M tokens, which is 94% above the median of $0.52 for chat models. It ranks 2181 out of 3254 chat models by input cost, making it cheaper than 33% of models in this category. For output, it costs $4.05 per 1M tokens compared to the median of $1.50.

What makes system.ai.inkling different from other Databricks models?

Among Databricks's 108 chat models, system.ai.inkling ranks 44 by input cost.

What are the best alternatives to system.ai.inkling?

The most comparable chat models to system.ai.inkling are: anthropic.claude-haiku-4-5-20251001-v1:0 from AWS Bedrock ($1.00/1M input tokens); anthropic.claude-haiku-4-5@20251001 from AWS Bedrock ($1.00/1M input tokens); apac.anthropic.claude-haiku-4-5-20251001-v1:0 from AWS Bedrock ($1.10/1M input tokens); claude-haiku-4-5 from Azure ($1.00/1M 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.inkling's context window?

system.ai.inkling supports up to 524,288 input tokens, placing it in the top 22% of chat models by context window size (rank 657 of 3025). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I calculate system.ai.inkling costs?

system.ai.inkling 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 $1.00 and generating 1M output tokens costs $4.05.