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DeepSeek-V4-Flash-0731 Cost Calculator - Baseten

Calculate the cost of using DeepSeek-V4-Flash-0731 from Baseten for your AI applications

Pricing data last updated:

DeepSeek-V4-Flash-0731 Cost Calculator

Mode: Chat

Max: 1,048,576 tokens

Max: 384,000 tokens

Cost Breakdown

Input Cost$0.00013000
Output Cost$0.00026000
Total Cost$0.00039000

Pricing Details

Input: $0.0000001300 per token
Output: $0.0000002600 per token
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Model Specifications

Capabilities

✓Function Calling
✓Reasoning

Limits

Max Input Tokens1,048,576
Max Output Tokens384,000
Max Tokens384,000

About DeepSeek-V4-Flash-0731

DeepSeek-V4-Flash-0731 is a chat model from Baseten, one of 32 chat models they offer. It is priced at $0.13 per 1M input tokens and $0.26 per 1M output tokens, ranking 631 out of 3778 chat models by cost and cheaper than 83% of models in this category. DeepSeek-V4-Flash-0731 supports function calling, reasoning, prompt caching, structured output. Its 1,049K-token context window is in the top 14% among chat models.

Pricing Information

Input Cost$0.13 per 1M tokens
Output Cost$0.26 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 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 1,048,576 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
✓Response Schema - Structured output formatting

How DeepSeek-V4-Flash-0731 Pricing Compares

At $0.13 per 1M input tokens and $0.26 per 1M output tokens, DeepSeek-V4-Flash-0731 ranks 631 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 83% of models in this category.

DeepSeek-V4-Flash-0731 is one of 32 Baseten chat models, with support for function calling, reasoning, prompt caching, structured output. its 1,049K-token context window places it in the top 14% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs DeepSeek-V4-Flash-0731
gpt-6-lunaAzure$0.11$0.55-15%
qwen3.8-flashDashscope$0.15$0.47+15%
qwen3.8-omni-flashDashscope$0.15$0.47+15%

Alternatives to DeepSeek-V4-Flash-0731

Similar chat models from other providers

Azure
gpt-6-luna
$0.11/1M input
-15% vs DeepSeek-V4-Flash-0731
Dashscope
qwen3.8-flash
$0.15/1M input
+15% vs DeepSeek-V4-Flash-0731
Dashscope
qwen3.8-omni-flash
$0.15/1M input
+15% vs DeepSeek-V4-Flash-0731
Qwen Ai Platform
qwen3.8-flash
$0.15/1M input
+15% vs DeepSeek-V4-Flash-0731
Qwen Ai Platform
qwen3.8-omni-flash
$0.15/1M input
+15% vs DeepSeek-V4-Flash-0731

Frequently Asked Questions

Is DeepSeek-V4-Flash-0731 cheaper than gpt-6-luna?

No. DeepSeek-V4-Flash-0731 costs $0.13 per 1M input tokens while gpt-6-luna costs $0.11 per 1M input tokens, making gpt-6-luna 15% 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 $0.13 per 1M tokens, which is 78% below the median of $0.60 for chat models. It ranks 631 out of 3778 chat models by input cost, making it cheaper than 83% of models in this category. For output, it costs $0.26 per 1M tokens compared to the median of $1.75.

What makes DeepSeek-V4-Flash-0731 different from other Baseten models?

Among Baseten's 32 chat models, DeepSeek-V4-Flash-0731 ranks 2 by input cost.

What are the best alternatives to DeepSeek-V4-Flash-0731?

The most comparable chat models to DeepSeek-V4-Flash-0731 are: gpt-6-luna from Azure ($0.11/1M input tokens); qwen3.8-flash from Dashscope ($0.15/1M input tokens); qwen3.8-omni-flash from Dashscope ($0.15/1M input tokens); qwen3.8-flash from Qwen Ai Platform ($0.15/1M 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 1,048,576 input tokens, placing it in the top 14% of chat models by context window size (rank 328 of 3499). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

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 $0.13 and generating 1M output tokens costs $0.26.