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deepseek-v4-flash-0731 Cost Calculator - DeepSeek

Calculate the cost of using deepseek-v4-flash-0731 from DeepSeek for your AI applications

Pricing data last updated:

deepseek-v4-flash-0731 Cost Calculator

Mode: Chat

Max: 1,000,000 tokens

Max: 393,216 tokens

Cost Breakdown

Input Cost$0.00044000
Output Cost$0.001320
Total Cost$0.001760

Pricing Details

Input: $0.0000004400 per token
Output: $0.00000132 per token
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Model Specifications

Capabilities

✓Function Calling
✓Reasoning

Limits

Max Input Tokens1,000,000
Max Output Tokens393,216
Max Tokens393,216

About deepseek-v4-flash-0731

deepseek-v4-flash-0731 is a chat model from DeepSeek, one of 12 chat models they offer. It is priced at $0.44 per 1M input tokens and $1.32 per 1M output tokens, ranking 1691 out of 3778 chat models by cost and cheaper than 55% of models in this category. deepseek-v4-flash-0731 supports function calling, reasoning, prompt caching, structured output. Its 1,000K-token context window is in the top 27% among chat models.

Pricing Information

Input Cost$0.44 per 1M tokens
Output Cost$1.32 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 Tokens393,216
Maximum Total Tokens393,216

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 393,216 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
✓Advanced Reasoning - Complex problem-solving capabilities
✓Prompt Caching - Optimize repeated prompts
✓System Messages - Configure model behavior
✓Parallel Function Calling - Execute multiple functions simultaneously
✓Response Schema - Structured output formatting

How deepseek-v4-flash-0731 Pricing Compares

At $0.44 per 1M input tokens and $1.32 per 1M output tokens, deepseek-v4-flash-0731 ranks 1691 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 55% of models in this category.

deepseek-v4-flash-0731 is one of 12 DeepSeek chat models, with support for function calling, reasoning, prompt caching, structured output. its 1,000K-token context window places it in the top 27% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs deepseek-v4-flash-0731
apac.amazon.nova-2-lite-v1:0AWS Bedrock$0.40$3.31-10%
eu.amazon.nova-2-lite-v1:0AWS Bedrock$0.43$3.60-3%
databricks-gemini-3-5-flash-liteDatabricks$0.37$3.13-15%

Alternatives to deepseek-v4-flash-0731

Similar chat models from other providers

AWS Bedrock
apac.amazon.nova-2-lite-v1:0
$0.40/1M input
-10% vs deepseek-v4-flash-0731
AWS Bedrock
eu.amazon.nova-2-lite-v1:0
$0.43/1M input
-3% vs deepseek-v4-flash-0731
Databricks
databricks-gemini-3-5-flash-lite
$0.37/1M input
-15% vs deepseek-v4-flash-0731
Sail
gemma-4-31B-it
$0.40/1M input
-9% vs deepseek-v4-flash-0731
FriendliAI
DeepSeek-V3.2
$0.50/1M input
+14% vs deepseek-v4-flash-0731

Frequently Asked Questions

Is deepseek-v4-flash-0731 cheaper than apac.amazon.nova-2-lite-v1:0?

No. deepseek-v4-flash-0731 costs $0.44 per 1M input tokens while apac.amazon.nova-2-lite-v1:0 costs $0.40 per 1M input tokens, making apac.amazon.nova-2-lite-v1:0 10% more affordable for input. However, deepseek-v4-flash-0731 may offer different capabilities or performance characteristics that justify the price difference.

How does deepseek-v4-flash-0731 pricing compare to the average chat model?

deepseek-v4-flash-0731 input pricing is $0.44 per 1M tokens, which is 27% below the median of $0.60 for chat models. It ranks 1691 out of 3778 chat models by input cost, making it cheaper than 55% of models in this category. For output, it costs $1.32 per 1M tokens compared to the median of $1.75.

What makes deepseek-v4-flash-0731 different from other DeepSeek models?

Among DeepSeek's 12 chat models, deepseek-v4-flash-0731 ranks 9 by input cost.

What are the best alternatives to deepseek-v4-flash-0731?

The most comparable chat models to deepseek-v4-flash-0731 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); databricks-gemini-3-5-flash-lite from Databricks ($0.37/1M input tokens); gemma-4-31B-it from Sail ($0.40/1M 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 deepseek-v4-flash-0731's context window?

deepseek-v4-flash-0731 supports up to 1,000,000 input tokens, placing it in the top 27% of chat models by context window size (rank 932 of 3499). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I check if DeepSeek is down?

You can monitor DeepSeek service health in real time on the Bifrost DeepSeek 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 deepseek-v4-flash-0731 costs?

deepseek-v4-flash-0731 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 $0.44 and generating 1M output tokens costs $1.32.