Calculate the cost of using DeepSeek-V4-Flash from Nebius for your AI applications
Pricing data last updated:
Mode: Chat
Max: 1,048,576 tokens
Max: 1,048,576 tokens
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DeepSeek-V4-Flash is a chat model from Nebius, one of 55 chat models they offer. It is priced at $0.14 per 1M input tokens and $0.28 per 1M output tokens, ranking 622 out of 3639 chat models by cost and cheaper than 82% of models in this category. DeepSeek-V4-Flash supports function calling, reasoning. Its 1,049K-token context window is in the top 12% 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 1,048,576 input tokens. The maximum output length is 1,048,576 tokens.
At $0.14 per 1M input tokens and $0.28 per 1M output tokens, DeepSeek-V4-Flash ranks 622 out of 3639 chat models by input cost. It is more affordable compared to the median of $0.58 for chat models, and is cheaper than 82% of models in this category.
DeepSeek-V4-Flash is one of 55 Nebius chat models, with support for function calling, reasoning. its 1,049K-token context window places it in the top 12% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs DeepSeek-V4-Flash |
|---|---|---|---|---|
| Phi-4-reasoning | Azure | $0.13 | $0.50 | -11% |
| qwen3-next-80b-a3b-thinking | Dashscope | $0.15 | $1.20 | +7% |
| qwen3-vl-32b-thinking | Dashscope | $0.16 | $2.87 | +14% |
Similar chat models from other providers
No. DeepSeek-V4-Flash costs $0.14 per 1M input tokens while Phi-4-reasoning costs $0.13 per 1M input tokens, making Phi-4-reasoning 11% more affordable for input. However, DeepSeek-V4-Flash may offer different capabilities or performance characteristics that justify the price difference.
DeepSeek-V4-Flash input pricing is $0.14 per 1M tokens, which is 76% below the median of $0.58 for chat models. It ranks 622 out of 3639 chat models by input cost, making it cheaper than 82% of models in this category. For output, it costs $0.28 per 1M tokens compared to the median of $1.66.
Among Nebius's 55 chat models, DeepSeek-V4-Flash ranks 22 by input cost.
The most comparable chat models to DeepSeek-V4-Flash are: Phi-4-reasoning from Azure ($0.13/1M input tokens); qwen3-next-80b-a3b-thinking from Dashscope ($0.15/1M input tokens); qwen3-vl-32b-thinking from Dashscope ($0.16/1M input tokens); qwen3-next-80b-a3b-thinking from Qwencloud ($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.
DeepSeek-V4-Flash supports up to 1,048,576 input tokens, placing it in the top 12% of chat models by context window size (rank 184 of 3346). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
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 $0.14 and generating 1M output tokens costs $0.28.