Calculate the cost of using DeepSeek-V4-Pro from Wandb for your AI applications
Pricing data last updated:
Mode: Chat
Max: 1,049,000 tokens
Max: 1,048,576 tokens
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DeepSeek-V4-Pro is a chat model from Wandb, one of 33 chat models they offer. It is priced at $1.15 per 1M input tokens and $2.55 per 1M output tokens, ranking 2642 out of 4040 chat models by cost and cheaper than 35% of models in this category. DeepSeek-V4-Pro 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. The maximum output length is 1,048,576 tokens.
At $1.15 per 1M input tokens and $2.55 per 1M output tokens, DeepSeek-V4-Pro ranks 2642 out of 4040 chat models by input cost. It is more expensive compared to the median of $0.60 for chat models, and is cheaper than 35% of models in this category.
DeepSeek-V4-Pro is one of 33 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-Pro |
|---|---|---|---|---|
| abliterated-model | Abliteration | $1.00 | $3.00 | -13% |
| abliterated-model-large-flash | Abliteration | $1.00 | $2.00 | -13% |
| amazon.nova-2-pro-preview-20251202-v1:0 | AWS Bedrock | $1.25 | $10.00 | +9% |
Similar chat models from other providers
No. DeepSeek-V4-Pro costs $1.15 per 1M input tokens while abliterated-model costs $1.00 per 1M input tokens, making abliterated-model 13% more affordable for input. However, DeepSeek-V4-Pro may offer different capabilities or performance characteristics that justify the price difference.
DeepSeek-V4-Pro input pricing is $1.15 per 1M tokens, which is 92% above the median of $0.60 for chat models. It ranks 2642 out of 4040 chat models by input cost, making it cheaper than 35% of models in this category. For output, it costs $2.55 per 1M tokens compared to the median of $1.80.
Among Wandb's 33 chat models, DeepSeek-V4-Pro ranks 31 by input cost.
The most comparable chat models to DeepSeek-V4-Pro are: abliterated-model from Abliteration ($1.00/1M input tokens); abliterated-model-large-flash from Abliteration ($1.00/1M input tokens); amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($1.25/1M input tokens); apac.amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($1.38/1M 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-Pro supports up to 1,049,000 input tokens, placing it in the top 3% of chat models by context window size (rank 116 of 3774). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
DeepSeek-V4-Pro 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 $1.15 and generating 1M output tokens costs $2.55.