Calculate the cost of using ling-3.0-flash from OpenRouter for your AI applications
Pricing data last updated:
Mode: Chat
Max: 262,144 tokens
Max: 32,768 tokens
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ling-3.0-flash is a chat model from OpenRouter, one of 433 chat models they offer. It is priced at $0.02 per 1M input tokens and $0.06 per 1M output tokens, ranking 33 out of 2832 chat models by cost and cheaper than 99% of models in this category. ling-3.0-flash supports function calling, reasoning, prompt caching. Its 262K-token context window is in the top 32% 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. The maximum output length is 32,768 tokens.
At $0.02 per 1M input tokens and $0.06 per 1M output tokens, ling-3.0-flash ranks 33 out of 2832 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.
ling-3.0-flash is one of 433 OpenRouter chat models, with support for function calling, reasoning, prompt caching. its 262K-token context window places it in the top 32% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs ling-3.0-flash |
|---|---|---|---|---|
| granite-4.0-h-micro | Cloudflare | $0.02 | $0.11 | -19% |
| Llama-3.2-3B-Instruct | DeepInfra | $0.02 | $0.02 | -5% |
| Meta-Llama-3.1-8B-Instruct | DeepInfra | $0.02 | $0.05 | -5% |
Similar chat models from other providers
No. ling-3.0-flash costs $0.02 per 1M input tokens while granite-4.0-h-micro costs $0.02 per 1M input tokens, making granite-4.0-h-micro 19% more affordable for input. However, ling-3.0-flash may offer different capabilities or performance characteristics that justify the price difference.
ling-3.0-flash input pricing is $0.02 per 1M tokens, which is 96% below the median of $0.55 for chat models. It ranks 33 out of 2832 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.
Among OpenRouter's 433 chat models, ling-3.0-flash ranks 5 by input cost. It is the most affordable OpenRouter model with reasoning support.
The most comparable chat models to ling-3.0-flash are: granite-4.0-h-micro from Cloudflare ($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.
Yes. At $0.02 per 1M input tokens, ling-3.0-flash is the most affordable chat model that supports reasoning. This makes it a strong option for reasoning-dependent workloads where cost efficiency matters.
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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.