Calculate the cost of using DeepSeek-V4-Flash from Azure for your AI applications
Pricing data last updated:
Mode: Chat
Max: 1,000,000 tokens
Max: 128,000 tokens
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DeepSeek-V4-Flash is a chat model from Azure, one of 187 chat models they offer. It is priced at $0.19 per 1M input tokens and $0.51 per 1M output tokens, ranking 535 out of 2170 chat models by cost and cheaper than 75% of models in this category. DeepSeek-V4-Flash supports function calling, reasoning, prompt caching, structured output. Its 1,000K-token context window is in the top 13% 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 128,000 tokens.
At $0.19 per 1M input tokens and $0.51 per 1M output tokens, DeepSeek-V4-Flash ranks 535 out of 2170 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 75% of models in this category.
DeepSeek-V4-Flash is one of 187 Azure chat models, with support for function calling, reasoning, prompt caching, structured output. its 1,000K-token context window places it in the top 13% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs DeepSeek-V4-Flash |
|---|---|---|---|---|
| gpt-5.4-nano | OpenAI | $0.20 | $1.25 | +5% |
| gpt-5.4-nano-2026-03-17 | OpenAI | $0.20 | $1.25 | +5% |
| deepseek-chat-v3.1 | OpenRouter | $0.20 | $0.80 | +5% |
Similar chat models from other providers
Yes. DeepSeek-V4-Flash costs $0.19 per 1M input tokens compared to gpt-5.4-nano's $0.20 per 1M input tokens, making it 5% more affordable. Both are chat models and share support for vision, function calling, reasoning, web search, prompt caching, structured output.
DeepSeek-V4-Flash input pricing is $0.19 per 1M tokens, which is 65% below the median of $0.55 for chat models. It ranks 535 out of 2170 chat models by input cost, making it cheaper than 75% of models in this category. For output, it costs $0.51 per 1M tokens compared to the median of $1.46.
Among Azure's 187 chat models, DeepSeek-V4-Flash ranks 32 by input cost.
The most comparable chat models to DeepSeek-V4-Flash are: gpt-5.4-nano from OpenAI ($0.20/1M input tokens); gpt-5.4-nano-2026-03-17 from OpenAI ($0.20/1M input tokens); deepseek-chat-v3.1 from OpenRouter ($0.20/1M input tokens); grok-4-1-fast from xAI ($0.20/1M 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 supports up to 1,000,000 input tokens, placing it in the top 13% of chat models by context window size (rank 256 of 2095). 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 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 $0.19 and generating 1M output tokens costs $0.51.
