Calculate the cost of using DeepSeek-V4.1-Flash from Sail 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-V4.1-Flash is a chat model from Sail, one of 12 chat models they offer. It is priced at $0.09 per 1M input tokens and $0.30 per 1M output tokens, ranking 373 out of 3781 chat models by cost and cheaper than 90% of models in this category. DeepSeek-V4.1-Flash supports function calling, reasoning, prompt caching, structured output. Its 1,049K-token context window is in the top 14% 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 $0.09 per 1M input tokens and $0.30 per 1M output tokens, DeepSeek-V4.1-Flash ranks 373 out of 3781 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 90% of models in this category.
DeepSeek-V4.1-Flash is one of 12 Sail 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.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs DeepSeek-V4.1-Flash |
|---|---|---|---|---|
| gpt-6-luna | Azure | $0.10 | $0.50 | +11% |
| gpt-6-luna-2026-09-22 | Azure | $0.10 | $0.50 | +11% |
| gemini-2.5-flash-lite | Vertex AI | $0.10 | $0.40 | +11% |
Similar chat models from other providers
Yes. DeepSeek-V4.1-Flash costs $0.09 per 1M input tokens compared to gpt-6-luna's $0.10 per 1M input tokens, making it 11% more affordable. Both are chat models and share support for vision, function calling, reasoning, web search, prompt caching, structured output.
DeepSeek-V4.1-Flash input pricing is $0.09 per 1M tokens, which is 85% below the median of $0.60 for chat models. It ranks 373 out of 3781 chat models by input cost, making it cheaper than 90% of models in this category. For output, it costs $0.30 per 1M tokens compared to the median of $1.75.
Among Sail's 12 chat models, DeepSeek-V4.1-Flash ranks 4 by input cost.
The most comparable chat models to DeepSeek-V4.1-Flash are: gpt-6-luna from Azure ($0.10/1M input tokens); gpt-6-luna-2026-09-22 from Azure ($0.10/1M input tokens); gemini-2.5-flash-lite from Vertex AI ($0.10/1M input tokens); gemini-2.5-flash-lite-preview-09-2025 from Vertex AI ($0.10/1M 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-V4.1-Flash supports up to 1,048,576 input tokens, placing it in the top 14% of chat models by context window size (rank 147 of 3502). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
DeepSeek-V4.1-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 $0.09 and generating 1M output tokens costs $0.30.