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FW-DeepSeek-V4.1-Flash Cost Calculator - Azure

Calculate the cost of using FW-DeepSeek-V4.1-Flash from Azure for your AI applications

Pricing data last updated:

FW-DeepSeek-V4.1-Flash Cost Calculator

Mode: Chat

Max: 1,000,000 tokens

Max: 384,000 tokens

Cost Breakdown

Input Cost$0.00037500
Output Cost$0.001500
Total Cost$0.001875

Pricing Details

Input: $0.0000003750 per token
Output: $0.00000150 per token
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Model Specifications

Capabilities

✓Function Calling
✓Reasoning

Limits

Max Input Tokens1,000,000
Max Output Tokens384,000
Max Tokens384,000

About FW-DeepSeek-V4.1-Flash

FW-DeepSeek-V4.1-Flash is a chat model from Azure, one of 317 chat models they offer. It is priced at $0.38 per 1M input tokens and $1.50 per 1M output tokens, ranking 1572 out of 3778 chat models by cost and cheaper than 58% of models in this category. FW-DeepSeek-V4.1-Flash supports function calling, reasoning, prompt caching. Its 1,000K-token context window is in the top 27% among chat models.

Pricing Information

Input Cost$0.38 per 1M tokens
Output Cost$1.50 per 1M tokens

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

Technical Specifications

Maximum Input Tokens1,000,000
Maximum Output Tokens384,000
Maximum Total Tokens384,000

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 1,000,000 input tokens. The maximum output length is 384,000 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
✓Advanced Reasoning - Complex problem-solving capabilities
✓Prompt Caching - Optimize repeated prompts

How FW-DeepSeek-V4.1-Flash Pricing Compares

At $0.38 per 1M input tokens and $1.50 per 1M output tokens, FW-DeepSeek-V4.1-Flash ranks 1572 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 58% of models in this category.

FW-DeepSeek-V4.1-Flash is one of 317 Azure chat models, with support for function calling, reasoning, prompt caching. its 1,000K-token context window places it in the top 27% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs FW-DeepSeek-V4.1-Flash
apac.amazon.nova-2-lite-v1:0AWS Bedrock$0.40$3.31+6%
eu.amazon.nova-2-lite-v1:0AWS Bedrock$0.43$3.60+14%
us.amazon.nova-2-lite-v1:0AWS Bedrock$0.33$2.75-12%

Alternatives to FW-DeepSeek-V4.1-Flash

Similar chat models from other providers

AWS Bedrock
apac.amazon.nova-2-lite-v1:0
$0.40/1M input
+6% vs FW-DeepSeek-V4.1-Flash
AWS Bedrock
eu.amazon.nova-2-lite-v1:0
$0.43/1M input
+14% vs FW-DeepSeek-V4.1-Flash
AWS Bedrock
us.amazon.nova-2-lite-v1:0
$0.33/1M input
-12% vs FW-DeepSeek-V4.1-Flash
Databricks
databricks-gemini-2-5-flash
$0.37/1M input
0% vs FW-DeepSeek-V4.1-Flash
Databricks
databricks-gemini-3-1-flash-lite
$0.31/1M input
-17% vs FW-DeepSeek-V4.1-Flash

Frequently Asked Questions

Is FW-DeepSeek-V4.1-Flash cheaper than apac.amazon.nova-2-lite-v1:0?

Yes. FW-DeepSeek-V4.1-Flash costs $0.38 per 1M input tokens compared to apac.amazon.nova-2-lite-v1:0's $0.40 per 1M input tokens, making it 6% more affordable. Both are chat models and share support for vision, function calling, reasoning, prompt caching, structured output.

How does FW-DeepSeek-V4.1-Flash pricing compare to the average chat model?

FW-DeepSeek-V4.1-Flash input pricing is $0.38 per 1M tokens, which is 37% below the median of $0.60 for chat models. It ranks 1572 out of 3778 chat models by input cost, making it cheaper than 58% of models in this category. For output, it costs $1.50 per 1M tokens compared to the median of $1.75.

What makes FW-DeepSeek-V4.1-Flash different from other Azure models?

Among Azure's 317 chat models, FW-DeepSeek-V4.1-Flash ranks 83 by input cost.

What are the best alternatives to FW-DeepSeek-V4.1-Flash?

The most comparable chat models to FW-DeepSeek-V4.1-Flash are: apac.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.40/1M input tokens); eu.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.43/1M input tokens); us.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens); databricks-gemini-2-5-flash from Databricks ($0.37/1M 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 FW-DeepSeek-V4.1-Flash's context window?

FW-DeepSeek-V4.1-Flash supports up to 1,000,000 input tokens, placing it in the top 27% of chat models by context window size (rank 749 of 3499). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

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 FW-DeepSeek-V4.1-Flash costs?

FW-DeepSeek-V4.1-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 $0.38 and generating 1M output tokens costs $1.50.