Calculate the cost of using deepseek:v4@flash from Runware for your AI applications
Pricing data last updated:
Mode: Chat
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deepseek:v4@flash is a chat model from Runware, one of 3 chat models they offer. It is priced at $0.08 per 1M input tokens and $0.15 per 1M output tokens, ranking 291 out of 3254 chat models by cost and cheaper than 91% of models in this category.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
At $0.08 per 1M input tokens and $0.15 per 1M output tokens, deepseek:v4@flash ranks 291 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 91% of models in this category.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs deepseek:v4@flash |
|---|---|---|---|---|
| apac.amazon.nova-lite-v1:0 | AWS Bedrock | $0.06 | $0.25 | -17% |
| Phi-4-mini-instruct | Azure | $0.07 | $0.30 | -1% |
| Phi-4-multimodal-instruct | Azure | $0.08 | $0.32 | +5% |
Similar chat models from other providers
No. deepseek:v4@flash costs $0.08 per 1M input tokens while apac.amazon.nova-lite-v1:0 costs $0.06 per 1M input tokens, making apac.amazon.nova-lite-v1:0 17% 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 $0.08 per 1M tokens, which is 85% below the median of $0.52 for chat models. It ranks 291 out of 3254 chat models by input cost, making it cheaper than 91% of models in this category. For output, it costs $0.15 per 1M tokens compared to the median of $1.50.
Among Runware's 3 chat models, deepseek:v4@flash ranks 1 by input cost.
The most comparable chat models to deepseek:v4@flash are: apac.amazon.nova-lite-v1:0 from AWS Bedrock ($0.06/1M input tokens); Phi-4-mini-instruct from Azure ($0.07/1M input tokens); Phi-4-multimodal-instruct from Azure ($0.08/1M input tokens); Phi-4-mini-reasoning from Azure ($0.07/1M 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 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 $0.08 and generating 1M output tokens costs $0.15.