Calculate the cost of using DeepSeek-V4-Flash from Wandb for your AI applications
Pricing data last updated:
Mode: Chat
Max: 1,049,000 tokens
Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.
DeepSeek-V4-Flash is a chat model from Wandb, one of 31 chat models they offer. It is priced at $0.14 per 1M input tokens and $0.28 per 1M output tokens, ranking 672 out of 3781 chat models by cost and cheaper than 82% of models in this category. DeepSeek-V4-Flash supports reasoning, prompt caching. Its 1,049K-token context window is in the top 3% 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 1,049,000 input tokens.
At $0.14 per 1M input tokens and $0.28 per 1M output tokens, DeepSeek-V4-Flash ranks 672 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 82% of models in this category.
DeepSeek-V4-Flash is one of 31 Wandb chat models, with support for reasoning, prompt caching. its 1,049K-token context window places it in the top 3% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs DeepSeek-V4-Flash |
|---|---|---|---|---|
| qwen3.8-flash | Dashscope | $0.15 | $0.47 | +7% |
| qwen3.8-omni-flash | Dashscope | $0.15 | $0.47 | +7% |
| qwen3.8-flash | Qwen Ai Platform | $0.15 | $0.47 | +7% |
Similar chat models from other providers
Yes. DeepSeek-V4-Flash costs $0.14 per 1M input tokens compared to qwen3.8-flash's $0.15 per 1M input tokens, making it 7% more affordable. Both are chat models and share support for vision, function calling, reasoning, web search, prompt caching, structured output.
DeepSeek-V4-Flash input pricing is $0.14 per 1M tokens, which is 77% below the median of $0.60 for chat models. It ranks 672 out of 3781 chat models by input cost, making it cheaper than 82% of models in this category. For output, it costs $0.28 per 1M tokens compared to the median of $1.75.
Among Wandb's 31 chat models, DeepSeek-V4-Flash ranks 12 by input cost.
The most comparable chat models to DeepSeek-V4-Flash 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-Flash supports up to 1,049,000 input tokens, placing it in the top 3% of chat models by context window size (rank 109 of 3502). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
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 $0.14 and generating 1M output tokens costs $0.28.