Calculate the cost of using Ling-3.1-flash from Hugging Face for your AI applications
Pricing data last updated:
Mode: Chat
Max: 262,144 tokens
Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.
Ling-3.1-flash is a chat model from Hugging Face, one of 190 chat models they offer. It is priced at $0.30 per 1M input tokens and $0.90 per 1M output tokens, ranking 1469 out of 3781 chat models by cost and cheaper than 61% of models in this category. Ling-3.1-flash supports function calling. Its 262K-token context window is in the top 45% 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 262,144 input tokens.
At $0.30 per 1M input tokens and $0.90 per 1M output tokens, Ling-3.1-flash ranks 1469 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 61% of models in this category.
Ling-3.1-flash is one of 190 Hugging Face chat models, with support for function calling. its 262K-token context window places it in the top 45% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs Ling-3.1-flash |
|---|---|---|---|---|
| amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.30 | $2.50 | 0% |
| us.amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.33 | $2.75 | +10% |
| gpt-5-mini-2025-08-07 | Azure | $0.28 | $2.20 | -8% |
Similar chat models from other providers
No. Ling-3.1-flash costs $0.30 per 1M input tokens while amazon.nova-2-lite-v1:0 costs $0.30 per 1M input tokens, making amazon.nova-2-lite-v1:0 0% more affordable for input. However, Ling-3.1-flash may offer different capabilities or performance characteristics that justify the price difference.
Ling-3.1-flash input pricing is $0.30 per 1M tokens, which is 50% below the median of $0.60 for chat models. It ranks 1469 out of 3781 chat models by input cost, making it cheaper than 61% of models in this category. For output, it costs $0.90 per 1M tokens compared to the median of $1.75.
Among Hugging Face's 190 chat models, Ling-3.1-flash ranks 105 by input cost.
The most comparable chat models to Ling-3.1-flash are: amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.30/1M input tokens); us.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens); gpt-5-mini-2025-08-07 from Azure ($0.28/1M input tokens); gpt-5-mini from Azure ($0.25/1M 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.
You can monitor Hugging Face service health in real time on the Bifrost Hugging Face Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
Ling-3.1-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 $0.30 and generating 1M output tokens costs $0.90.