Calculate the cost of using deepseek-v4-flash-0731 from OpenRouter for your AI applications
Pricing data last updated:
Mode: Chat
Max: 1,048,576 tokens
Max: 943,718 tokens
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deepseek-v4-flash-0731 is a chat model from OpenRouter, one of 480 chat models they offer. It is priced at $0.04 per 1M input tokens and $0.64 per 1M output tokens, ranking 98 out of 3501 chat models by cost and cheaper than 97% of models in this category. deepseek-v4-flash-0731 supports function calling, reasoning, prompt caching, structured output. Its 1,049K-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 1,048,576 input tokens. The maximum output length is 943,718 tokens.
At $0.04 per 1M input tokens and $0.64 per 1M output tokens, deepseek-v4-flash-0731 ranks 98 out of 3501 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 97% of models in this category.
deepseek-v4-flash-0731 is one of 480 OpenRouter chat models, with support for function calling, reasoning, prompt caching, structured output. its 1,049K-token context window places it in the top 13% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs deepseek-v4-flash-0731 |
|---|---|---|---|---|
| gpt-5-nano | Azure | $0.05 | $0.40 | +25% |
| gpt-5-nano-2025-08-07 | Azure | $0.05 | $0.40 | +25% |
| gpt-5-nano | OpenAI | $0.05 | $0.40 | +25% |
Similar chat models from other providers
Yes. deepseek-v4-flash-0731 costs $0.04 per 1M input tokens compared to gpt-5-nano's $0.05 per 1M input tokens, making it 25% more affordable. Both are chat models and share support for vision, function calling, reasoning, prompt caching, structured output.
deepseek-v4-flash-0731 input pricing is $0.04 per 1M tokens, which is 93% below the median of $0.60 for chat models. It ranks 98 out of 3501 chat models by input cost, making it cheaper than 97% of models in this category. For output, it costs $0.64 per 1M tokens compared to the median of $1.71.
Among OpenRouter's 480 chat models, deepseek-v4-flash-0731 ranks 14 by input cost.
The most comparable chat models to deepseek-v4-flash-0731 are: gpt-5-nano from Azure ($0.05/1M input tokens); gpt-5-nano-2025-08-07 from Azure ($0.05/1M input tokens); gpt-5-nano from OpenAI ($0.05/1M input tokens); gpt-5-nano-2025-08-07 from OpenAI ($0.05/1M 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 1,048,576 input tokens, placing it in the top 13% of chat models by context window size (rank 270 of 3230). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
You can monitor OpenRouter service health in real time on the Bifrost OpenRouter 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 $0.04 and generating 1M output tokens costs $0.64.