Calculate the cost of using DeepSeek-V4.1-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-V4.1-Flash is a chat model from Wandb, one of 33 chat models they offer. It is priced at $0.15 per 1M input tokens and $0.65 per 1M output tokens, ranking 790 out of 3778 chat models by cost and cheaper than 78% of models in this category. DeepSeek-V4.1-Flash supports vision, reasoning, prompt caching — one of only 10 chat models with this combination. 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 $0.15 per 1M input tokens and $0.65 per 1M output tokens, DeepSeek-V4.1-Flash ranks 790 out of 3778 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 is one of 33 Wandb chat models, one of only 10 chat models combining prompt caching, reasoning, vision. 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-V4.1-Flash |
|---|---|---|---|---|
| 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 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 may offer different capabilities or performance characteristics that justify the price difference.
DeepSeek-V4.1-Flash input pricing is $0.15 per 1M tokens, which is 75% below the median of $0.60 for chat models. It ranks 790 out of 3778 chat models by input cost, making it cheaper than 78% of models in this category. For output, it costs $0.65 per 1M tokens compared to the median of $1.75.
Among Wandb's 33 chat models, DeepSeek-V4.1-Flash ranks 13 by input cost. Its combination of prompt caching, reasoning, vision is shared by only 9 other chat models.
The most comparable chat models to DeepSeek-V4.1-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-V4.1-Flash supports up to 1,049,000 input tokens, placing it in the top 3% of chat models by context window size (rank 115 of 3499). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
DeepSeek-V4.1-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 $0.15 and generating 1M output tokens costs $0.65.