Try Bifrost Enterprise free for 14 days.
Request access

Ling-3.0-flash-Fin Cost Calculator - Hugging Face

Calculate the cost of using Ling-3.0-flash-Fin from Hugging Face for your AI applications

Pricing data last updated:

Ling-3.0-flash-Fin Cost Calculator

Mode: Chat

Max: 262,144 tokens

Cost Breakdown

Input Cost$0.00006000
Output Cost$0.00018000
Total Cost$0.00024000

Pricing Details

Input: $0.0000000600 per token
Output: $0.0000001800 per token
[ WE'RE OPEN SOURCE ]

Scale with the Fastest LLM Gateway

Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.

Model Specifications

Capabilities

Function Calling

Limits

Max Input Tokens262,144
Max Tokens262,144

About Ling-3.0-flash-Fin

Ling-3.0-flash-Fin is a chat model from Hugging Face, one of 213 chat models they offer. It is priced at $0.06 per 1M input tokens and $0.18 per 1M output tokens, ranking 236 out of 3639 chat models by cost and cheaper than 93% of models in this category. Ling-3.0-flash-Fin supports function calling, structured output. Its 262K-token context window is in the top 40% among chat models.

Pricing Information

Input Cost$0.06 per 1M tokens
Output Cost$0.18 per 1M tokens

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

Technical Specifications

Maximum Input Tokens262,144
Maximum Total Tokens262,144

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 262,144 input tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Response Schema - Structured output formatting

How Ling-3.0-flash-Fin Pricing Compares

At $0.06 per 1M input tokens and $0.18 per 1M output tokens, Ling-3.0-flash-Fin ranks 236 out of 3639 chat models by input cost. It is more affordable compared to the median of $0.58 for chat models, and is cheaper than 93% of models in this category.

Ling-3.0-flash-Fin is one of 213 Hugging Face chat models, with support for function calling, structured output. its 262K-token context window places it in the top 40% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs Ling-3.0-flash-Fin
amazon.nova-lite-v1:0AWS Bedrock$0.06$0.240%
apac.amazon.nova-lite-v1:0AWS Bedrock$0.06$0.25+5%
gpt-5-nano-2025-08-07Azure$0.06$0.44-8%

Alternatives to Ling-3.0-flash-Fin

Similar chat models from other providers

AWS Bedrock
amazon.nova-lite-v1:0
$0.06/1M input
0% vs Ling-3.0-flash-Fin
AWS Bedrock
apac.amazon.nova-lite-v1:0
$0.06/1M input
+5% vs Ling-3.0-flash-Fin
Azure
gpt-5-nano-2025-08-07
$0.06/1M input
-8% vs Ling-3.0-flash-Fin
Azure
gpt-5-nano
$0.05/1M input
-17% vs Ling-3.0-flash-Fin
Fireworks AI
gpt-oss-20b
$0.07/1M input
+17% vs Ling-3.0-flash-Fin

Frequently Asked Questions

Is Ling-3.0-flash-Fin cheaper than amazon.nova-lite-v1:0?

No. Ling-3.0-flash-Fin costs $0.06 per 1M input tokens while amazon.nova-lite-v1:0 costs $0.06 per 1M input tokens, making amazon.nova-lite-v1:0 0% more affordable for input. However, Ling-3.0-flash-Fin may offer different capabilities or performance characteristics that justify the price difference.

How does Ling-3.0-flash-Fin pricing compare to the average chat model?

Ling-3.0-flash-Fin input pricing is $0.06 per 1M tokens, which is 90% below the median of $0.58 for chat models. It ranks 236 out of 3639 chat models by input cost, making it cheaper than 93% of models in this category. For output, it costs $0.18 per 1M tokens compared to the median of $1.66.

What makes Ling-3.0-flash-Fin different from other Hugging Face models?

Among Hugging Face's 213 chat models, Ling-3.0-flash-Fin ranks 25 by input cost.

What are the best alternatives to Ling-3.0-flash-Fin?

The most comparable chat models to Ling-3.0-flash-Fin are: amazon.nova-lite-v1:0 from AWS Bedrock ($0.06/1M input tokens); apac.amazon.nova-lite-v1:0 from AWS Bedrock ($0.06/1M input tokens); gpt-5-nano-2025-08-07 from Azure ($0.06/1M input tokens); gpt-5-nano from Azure ($0.05/1M 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.

How do I check if Hugging Face is down?

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.

How do I calculate Ling-3.0-flash-Fin costs?

Ling-3.0-flash-Fin 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 $0.06 and generating 1M output tokens costs $0.18.