Calculate the cost of using paddleocr-vl from Novita for your AI applications
Pricing data last updated:
Mode: Chat
Max: 16,384 tokens
Max: 16,384 tokens
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paddleocr-vl is a chat model from Novita, one of 80 chat models they offer. It is priced at $0.02 per 1M input tokens and $0.02 per 1M output tokens, ranking 22 out of 2292 chat models by cost and cheaper than 99% of models in this category. paddleocr-vl supports vision. It accepts up to 16K input tokens.
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 16,384 input tokens. The maximum output length is 16,384 tokens.
At $0.02 per 1M input tokens and $0.02 per 1M output tokens, paddleocr-vl ranks 22 out of 2292 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 99% of models in this category.
paddleocr-vl is one of 80 Novita chat models, with support for vision.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs paddleocr-vl |
|---|---|---|---|---|
| Qwen2-VL-7B-Instruct | Nebius | $0.02 | $0.06 | 0% |
| Llama-3.2-3B-Instruct | DeepInfra | $0.02 | $0.02 | 0% |
| Meta-Llama-3.1-8B-Instruct | DeepInfra | $0.02 | $0.05 | 0% |
Similar chat models from other providers
No. paddleocr-vl costs $0.02 per 1M input tokens while Qwen2-VL-7B-Instruct costs $0.02 per 1M input tokens, making Qwen2-VL-7B-Instruct 0% more affordable for input. However, paddleocr-vl may offer different capabilities or performance characteristics that justify the price difference.
paddleocr-vl input pricing is $0.02 per 1M tokens, which is 96% below the median of $0.55 for chat models. It ranks 22 out of 2292 chat models by input cost, making it cheaper than 99% of models in this category. For output, it costs $0.02 per 1M tokens compared to the median of $1.50.
Among Novita's 80 chat models, paddleocr-vl ranks 1 by input cost.
The most comparable chat models to paddleocr-vl are: Qwen2-VL-7B-Instruct from Nebius ($0.02/1M input tokens); Llama-3.2-3B-Instruct from DeepInfra ($0.02/1M input tokens); Meta-Llama-3.1-8B-Instruct from DeepInfra ($0.02/1M input tokens); Meta-Llama-3.1-8B-Instruct-Turbo from DeepInfra ($0.02/1M 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.
paddleocr-vl 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 $0.02 and generating 1M output tokens costs $0.02.
