Calculate the cost of using DeepSeek-V4-Flash-0731 from Azure for your AI applications
Pricing data last updated:
Mode: Chat
Max: 1,000,000 tokens
Max: 384,000 tokens
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DeepSeek-V4-Flash-0731 is a chat model from Azure, one of 221 chat models they offer. It is priced at $0.44 per 1M input tokens and $1.32 per 1M output tokens, ranking 1327 out of 2912 chat models by cost and cheaper than 54% 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 18% among chat models.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
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.
At $0.44 per 1M input tokens and $1.32 per 1M output tokens, DeepSeek-V4-Flash-0731 ranks 1327 out of 2912 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 54% of models in this category.
DeepSeek-V4-Flash-0731 is one of 221 Azure chat models, with support for function calling, reasoning, prompt caching, structured output. its 1,000K-token context window places it in the top 18% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs DeepSeek-V4-Flash-0731 |
|---|---|---|---|---|
| gemini-3-flash-preview | Vertex AI | $0.50 | $3.00 | +14% |
| gemini-3-flash-preview | Google Gemini | $0.50 | $3.00 | +14% |
| deepseek-chat-v3.1 | OpenRouter | $0.55 | $1.65 | +25% |
Similar chat models from other providers
Yes. DeepSeek-V4-Flash-0731 costs $0.44 per 1M input tokens compared to gemini-3-flash-preview's $0.50 per 1M input tokens, making it 14% more affordable. Both are chat models and share support for vision, function calling, reasoning, web search, prompt caching, structured output.
DeepSeek-V4-Flash-0731 input pricing is $0.44 per 1M tokens, which is 20% below the median of $0.55 for chat models. It ranks 1327 out of 2912 chat models by input cost, making it cheaper than 54% of models in this category. For output, it costs $1.32 per 1M tokens compared to the median of $1.50.
Among Azure's 221 chat models, DeepSeek-V4-Flash-0731 ranks 62 by input cost.
The most comparable chat models to DeepSeek-V4-Flash-0731 are: gemini-3-flash-preview from Vertex AI ($0.50/1M input tokens); gemini-3-flash-preview from Google Gemini ($0.50/1M input tokens); deepseek-chat-v3.1 from OpenRouter ($0.55/1M input tokens); deepseek-r1-0528 from OpenRouter ($0.50/1M 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.
DeepSeek-V4-Flash-0731 supports up to 1,000,000 input tokens, placing it in the top 18% of chat models by context window size (rank 486 of 2714). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
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.
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.