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 441 chat models they offer. It is priced at $0.07 per 1M input tokens and $0.18 per 1M output tokens, ranking 222 out of 3254 chat models by cost and cheaper than 93% 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 10% 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 $0.07 per 1M input tokens and $0.18 per 1M output tokens, deepseek-v4-flash-0731 ranks 222 out of 3254 chat models by input cost. It is more affordable compared to the median of $0.52 for chat models, and is cheaper than 93% of models in this category.
deepseek-v4-flash-0731 is one of 441 OpenRouter chat models, with support for function calling, reasoning, prompt caching, structured output. its 1,049K-token context window places it in the top 10% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs deepseek-v4-flash-0731 |
|---|---|---|---|---|
| gpt-5-nano-2025-08-07 | Azure | $0.06 | $0.44 | -15% |
| gpt-oss-20b | Tensormesh | $0.07 | $0.28 | +8% |
| glm-4.7-flash | Novita | $0.07 | $0.40 | +8% |
Similar chat models from other providers
No. deepseek-v4-flash-0731 costs $0.07 per 1M input tokens while gpt-5-nano-2025-08-07 costs $0.06 per 1M input tokens, making gpt-5-nano-2025-08-07 15% more affordable for input. However, deepseek-v4-flash-0731 may offer different capabilities or performance characteristics that justify the price difference.
deepseek-v4-flash-0731 input pricing is $0.07 per 1M tokens, which is 87% below the median of $0.52 for chat models. It ranks 222 out of 3254 chat models by input cost, making it cheaper than 93% of models in this category. For output, it costs $0.18 per 1M tokens compared to the median of $1.50.
Among OpenRouter's 441 chat models, deepseek-v4-flash-0731 ranks 35 by input cost.
The most comparable chat models to deepseek-v4-flash-0731 are: gpt-5-nano-2025-08-07 from Azure ($0.06/1M input tokens); gpt-oss-20b from Tensormesh ($0.07/1M input tokens); glm-4.7-flash from Novita ($0.07/1M input tokens); GLM-4.7-Flash from DeepInfra ($0.06/1M 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 10% of chat models by context window size (rank 231 of 3025). 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 $0.07 and generating 1M output tokens costs $0.18.