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

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

Pricing data last updated:

Ling-3.0-flash-VL Cost Calculator

Mode: Chat

Max: 262,144 tokens

Cost Breakdown

Input Cost$0.00007500
Output Cost$0.00022000
Total Cost$0.00029500

Pricing Details

Input: $0.0000000750 per token
Output: $0.0000002200 per token
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Model Specifications

Capabilities

✓Function Calling
✓Vision

Limits

Max Input Tokens262,144
Max Tokens262,144

About Ling-3.0-flash-VL

Ling-3.0-flash-VL is a chat model from Hugging Face, one of 188 chat models they offer. It is priced at $0.07 per 1M input tokens and $0.22 per 1M output tokens, ranking 324 out of 3653 chat models by cost and cheaper than 91% of models in this category. Ling-3.0-flash-VL supports vision, function calling. Its 262K-token context window is in the top 44% among chat models.

Pricing Information

Input Cost$0.07 per 1M tokens
Output Cost$0.22 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
✓Vision - Process and understand images

How Ling-3.0-flash-VL Pricing Compares

At $0.07 per 1M input tokens and $0.22 per 1M output tokens, Ling-3.0-flash-VL ranks 324 out of 3653 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 91% of models in this category.

Ling-3.0-flash-VL is one of 188 Hugging Face chat models, with support for vision, function calling. its 262K-token context window places it in the top 44% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs Ling-3.0-flash-VL
apac.amazon.nova-lite-v1:0AWS Bedrock$0.06$0.25-16%
Phi-4-multimodal-instructAzure$0.08$0.32+7%
amazon.nova-lite-v1:0AWS Bedrock$0.07$0.29-4%

Alternatives to Ling-3.0-flash-VL

Similar chat models from other providers

AWS Bedrock
apac.amazon.nova-lite-v1:0
$0.06/1M input
-16% vs Ling-3.0-flash-VL
Azure
Phi-4-multimodal-instruct
$0.08/1M input
+7% vs Ling-3.0-flash-VL
AWS Bedrock
amazon.nova-lite-v1:0
$0.07/1M input
-4% vs Ling-3.0-flash-VL
AWS Bedrock
eu.amazon.nova-lite-v1:0
$0.08/1M input
+4% vs Ling-3.0-flash-VL
AWS Bedrock
google.gemma-3-12b-it
$0.09/1M input
+20% vs Ling-3.0-flash-VL

Frequently Asked Questions

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

No. Ling-3.0-flash-VL costs $0.07 per 1M input tokens while apac.amazon.nova-lite-v1:0 costs $0.06 per 1M input tokens, making apac.amazon.nova-lite-v1:0 16% more affordable for input. However, Ling-3.0-flash-VL may offer different capabilities or performance characteristics that justify the price difference.

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

Ling-3.0-flash-VL input pricing is $0.07 per 1M tokens, which is 88% below the median of $0.60 for chat models. It ranks 324 out of 3653 chat models by input cost, making it cheaper than 91% of models in this category. For output, it costs $0.22 per 1M tokens compared to the median of $1.70.

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

Among Hugging Face's 188 chat models, Ling-3.0-flash-VL ranks 33 by input cost.

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

The most comparable chat models to Ling-3.0-flash-VL are: apac.amazon.nova-lite-v1:0 from AWS Bedrock ($0.06/1M input tokens); Phi-4-multimodal-instruct from Azure ($0.08/1M input tokens); amazon.nova-lite-v1:0 from AWS Bedrock ($0.07/1M input tokens); eu.amazon.nova-lite-v1:0 from AWS Bedrock ($0.08/1M 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-VL costs?

Ling-3.0-flash-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 $0.07 and generating 1M output tokens costs $0.22.