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ling-3.0-flash Cost Calculator - OpenRouter

Calculate the cost of using ling-3.0-flash from OpenRouter for your AI applications

Pricing data last updated:

ling-3.0-flash Cost Calculator

Mode: Chat

Max: 262,144 tokens

Max: 32,768 tokens

Cost Breakdown

Input Cost$0.00002100
Output Cost$0.00006300
Total Cost$0.00008400

Pricing Details

Input: $0.0000000210 per token
Output: $0.0000000630 per token
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Model Specifications

Capabilities

Function Calling
Reasoning

Limits

Max Input Tokens262,144
Max Output Tokens32,768
Max Tokens32,768

About ling-3.0-flash

ling-3.0-flash is a chat model from OpenRouter, one of 441 chat models they offer. It is priced at $0.02 per 1M input tokens and $0.06 per 1M output tokens, ranking 35 out of 3254 chat models by cost and cheaper than 99% of models in this category. ling-3.0-flash supports function calling, reasoning, prompt caching, structured output. Its 262K-token context window is in the top 37% among chat models.

Pricing Information

Input Cost$0.02 per 1M tokens
Output Cost$0.06 per 1M tokens

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

Technical Specifications

Maximum Input Tokens262,144
Maximum Output Tokens32,768
Maximum Total Tokens32,768

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. The maximum output length is 32,768 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Advanced Reasoning - Complex problem-solving capabilities
Prompt Caching - Optimize repeated prompts
Response Schema - Structured output formatting

How ling-3.0-flash Pricing Compares

At $0.02 per 1M input tokens and $0.06 per 1M output tokens, ling-3.0-flash ranks 35 out of 3254 chat models by input cost. It is more affordable compared to the median of $0.52 for chat models, and is cheaper than 99% of models in this category.

ling-3.0-flash is one of 441 OpenRouter chat models, with support for function calling, reasoning, prompt caching, structured output. its 262K-token context window places it in the top 37% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs ling-3.0-flash
gemma-4-E4B-itDeepInfra$0.02$0.10-5%
amazon.nova-micro-v1:0AWS Bedrock$0.04$0.14+67%
apac.amazon.nova-micro-v1:0AWS Bedrock$0.04$0.15+76%

Alternatives to ling-3.0-flash

Similar chat models from other providers

DeepInfra
gemma-4-E4B-it
$0.02/1M input
-5% vs ling-3.0-flash
AWS Bedrock
amazon.nova-micro-v1:0
$0.04/1M input
+67% vs ling-3.0-flash
AWS Bedrock
apac.amazon.nova-micro-v1:0
$0.04/1M input
+76% vs ling-3.0-flash
Amazon Nova
nova-micro-v1
$0.04/1M input
+67% vs ling-3.0-flash
AWS Bedrock
us.amazon.nova-micro-v1:0
$0.04/1M input
+67% vs ling-3.0-flash

Frequently Asked Questions

Is ling-3.0-flash cheaper than gemma-4-E4B-it?

No. ling-3.0-flash costs $0.02 per 1M input tokens while gemma-4-E4B-it costs $0.02 per 1M input tokens, making gemma-4-E4B-it 5% more affordable for input. However, ling-3.0-flash may offer different capabilities or performance characteristics that justify the price difference.

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

ling-3.0-flash input pricing is $0.02 per 1M tokens, which is 96% below the median of $0.52 for chat models. It ranks 35 out of 3254 chat models by input cost, making it cheaper than 99% of models in this category. For output, it costs $0.06 per 1M tokens compared to the median of $1.50.

What makes ling-3.0-flash different from other OpenRouter models?

Among OpenRouter's 441 chat models, ling-3.0-flash ranks 4 by input cost. It is the most affordable OpenRouter model with prompt caching support.

What are the best alternatives to ling-3.0-flash?

The most comparable chat models to ling-3.0-flash are: gemma-4-E4B-it from DeepInfra ($0.02/1M input tokens); amazon.nova-micro-v1:0 from AWS Bedrock ($0.04/1M input tokens); apac.amazon.nova-micro-v1:0 from AWS Bedrock ($0.04/1M input tokens); nova-micro-v1 from Amazon Nova ($0.04/1M 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.

Is ling-3.0-flash the cheapest chat model with prompt caching?

Yes. At $0.02 per 1M input tokens, ling-3.0-flash is the most affordable chat model that supports prompt caching. This makes it a strong option for prompt caching-dependent workloads where cost efficiency matters.

How do I check if OpenRouter is down?

You can monitor OpenRouter service health in real time on the Bifrost OpenRouter 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 costs?

ling-3.0-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 $0.02 and generating 1M output tokens costs $0.06.