Calculate the cost of using deepseek-v4.1-flash-1017 from OpenRouter for your AI applications
Pricing data last updated:
Mode: Chat
Max: 1,048,576 tokens
Max: 393,216 tokens
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deepseek-v4.1-flash-1017 is a chat model from OpenRouter, one of 504 chat models they offer. It is priced at $0.15 per 1M input tokens and $0.60 per 1M output tokens, ranking 802 out of 3781 chat models by cost and cheaper than 78% of models in this category. deepseek-v4.1-flash-1017 supports vision, 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 393,216 tokens.
At $0.15 per 1M input tokens and $0.60 per 1M output tokens, deepseek-v4.1-flash-1017 ranks 802 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 78% of models in this category.
deepseek-v4.1-flash-1017 is one of 504 OpenRouter chat models, with support for vision, 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-1017 |
|---|---|---|---|---|
| qwen3.8-flash | Dashscope | $0.15 | $0.47 | 0% |
| qwen3.8-omni-flash | Dashscope | $0.15 | $0.47 | 0% |
| qwen3.8-flash | Qwen Ai Platform | $0.15 | $0.47 | 0% |
Similar chat models from other providers
No. deepseek-v4.1-flash-1017 costs $0.15 per 1M input tokens while qwen3.8-flash costs $0.15 per 1M input tokens, making qwen3.8-flash 0% more affordable for input. However, deepseek-v4.1-flash-1017 may offer different capabilities or performance characteristics that justify the price difference.
deepseek-v4.1-flash-1017 input pricing is $0.15 per 1M tokens, which is 75% below the median of $0.60 for chat models. It ranks 802 out of 3781 chat models by input cost, making it cheaper than 78% of models in this category. For output, it costs $0.60 per 1M tokens compared to the median of $1.75.
Among OpenRouter's 504 chat models, deepseek-v4.1-flash-1017 ranks 110 by input cost.
The most comparable chat models to deepseek-v4.1-flash-1017 are: 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); qwen3.8-omni-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.
deepseek-v4.1-flash-1017 supports up to 1,048,576 input tokens, placing it in the top 14% of chat models by context window size (rank 344 of 3502). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
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deepseek-v4.1-flash-1017 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 $0.15 and generating 1M output tokens costs $0.60.