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MAI-Code-1.1-Flash Cost Calculator - Azure

Calculate the cost of using MAI-Code-1.1-Flash from Azure for your AI applications

Pricing data last updated:

MAI-Code-1.1-Flash Cost Calculator

Mode: Chat

Max: 256,000 tokens

Max: 64,000 tokens

Cost Breakdown

Input Cost$0.00020000
Output Cost$0.001200
Total Cost$0.001400

Pricing Details

Input: $0.0000002000 per token
Output: $0.00000120 per token
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Model Specifications

Capabilities

✓Function Calling
✓Vision
✓Reasoning

Limits

Max Input Tokens256,000
Max Output Tokens64,000
Max Tokens64,000

About MAI-Code-1.1-Flash

MAI-Code-1.1-Flash is a chat model from Azure, one of 317 chat models they offer. It is priced at $0.20 per 1M input tokens and $1.20 per 1M output tokens, ranking 1108 out of 3778 chat models by cost and cheaper than 70% of models in this category. MAI-Code-1.1-Flash supports vision, function calling, reasoning, prompt caching. Its 256K-token context window is in the top 49% among chat models.

Pricing Information

Input Cost$0.20 per 1M tokens
Output Cost$1.20 per 1M tokens

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

Technical Specifications

Maximum Input Tokens256,000
Maximum Output Tokens64,000
Maximum Total Tokens64,000

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 256,000 input tokens. The maximum output length is 64,000 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 MAI-Code-1.1-Flash Pricing Compares

At $0.20 per 1M input tokens and $1.20 per 1M output tokens, MAI-Code-1.1-Flash ranks 1108 out of 3778 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 70% of models in this category.

MAI-Code-1.1-Flash is one of 317 Azure chat models, with support for vision, function calling, reasoning, prompt caching. its 256K-token context window places it in the top 49% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs MAI-Code-1.1-Flash
deepseek-v4.1-flash-fastCoralbricks$0.25$1.20+25%
databricks-gpt-5-4-nanoDatabricks$0.20$1.250%
databricks-gpt-5-6-lunaDatabricks$0.20$1.200%

Alternatives to MAI-Code-1.1-Flash

Similar chat models from other providers

Coralbricks
deepseek-v4.1-flash-fast
$0.25/1M input
+25% vs MAI-Code-1.1-Flash
Databricks
databricks-gpt-5-4-nano
$0.20/1M input
0% vs MAI-Code-1.1-Flash
Databricks
databricks-gpt-5-6-luna
$0.20/1M input
0% vs MAI-Code-1.1-Flash
Databricks
databricks-gpt-5-mini
$0.25/1M input
+25% vs MAI-Code-1.1-Flash
Google Gemini
gemini-3.1-flash-lite-preview
$0.25/1M input
+25% vs MAI-Code-1.1-Flash

Frequently Asked Questions

Is MAI-Code-1.1-Flash cheaper than deepseek-v4.1-flash-fast?

Yes. MAI-Code-1.1-Flash costs $0.20 per 1M input tokens compared to deepseek-v4.1-flash-fast's $0.25 per 1M input tokens, making it 25% more affordable. Both are chat models and share support for vision, function calling, reasoning, prompt caching.

How does MAI-Code-1.1-Flash pricing compare to the average chat model?

MAI-Code-1.1-Flash input pricing is $0.20 per 1M tokens, which is 67% below the median of $0.60 for chat models. It ranks 1108 out of 3778 chat models by input cost, making it cheaper than 70% of models in this category. For output, it costs $1.20 per 1M tokens compared to the median of $1.75.

What makes MAI-Code-1.1-Flash different from other Azure models?

Among Azure's 317 chat models, MAI-Code-1.1-Flash ranks 60 by input cost.

What are the best alternatives to MAI-Code-1.1-Flash?

The most comparable chat models to MAI-Code-1.1-Flash are: deepseek-v4.1-flash-fast from Coralbricks ($0.25/1M input tokens); databricks-gpt-5-4-nano from Databricks ($0.20/1M input tokens); databricks-gpt-5-6-luna from Databricks ($0.20/1M input tokens); databricks-gpt-5-mini from Databricks ($0.25/1M 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 do I check if Azure AI is down?

You can monitor Azure AI service health in real time on the Bifrost Azure AI Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.

How do I calculate MAI-Code-1.1-Flash costs?

MAI-Code-1.1-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 $0.20 and generating 1M output tokens costs $1.20.