Calculate the cost of using ling-2.6-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-2.6-flash is a chat model from OpenRouter, one of 355 chat models they offer. It is priced at $0.01 per 1M input tokens and $0.03 per 1M output tokens, ranking 4 out of 2661 chat models by cost and cheaper than 100% of models in this category. ling-2.6-flash supports function calling, prompt caching, structured output. Its 262K-token context window is in the top 29% 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 $0.01 per 1M input tokens and $0.03 per 1M output tokens, ling-2.6-flash ranks 4 out of 2661 chat models by input cost. It is more affordable compared to the median of $0.50 for chat models, and is cheaper than 100% of models in this category.
ling-2.6-flash is one of 355 OpenRouter chat models, with support for function calling, prompt caching, structured output. its 262K-token context window places it in the top 29% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs ling-2.6-flash |
|---|---|---|---|---|
| Qwen3-4B-Instruct-2507 | Hugging Face | $0.01 | $0.03 | 0% |
| Qwen3-4B-Thinking-2507 | Hugging Face | $0.01 | $0.03 | 0% |
| Qwen2.5-Coder-7B | Nebius | $0.01 | $0.03 | 0% |
Similar chat models from other providers
No. ling-2.6-flash costs $0.01 per 1M input tokens while Qwen3-4B-Instruct-2507 costs $0.01 per 1M input tokens, making Qwen3-4B-Instruct-2507 0% more affordable for input. However, ling-2.6-flash may offer different capabilities or performance characteristics that justify the price difference.
ling-2.6-flash input pricing is $0.01 per 1M tokens, which is 98% below the median of $0.50 for chat models. It ranks 4 out of 2661 chat models by input cost, making it cheaper than 100% of models in this category. For output, it costs $0.03 per 1M tokens compared to the median of $1.44.
Among OpenRouter's 355 chat models, ling-2.6-flash ranks 1 by input cost. It is the most affordable OpenRouter model with prompt caching and structured output support.
The most comparable chat models to ling-2.6-flash are: Qwen3-4B-Instruct-2507 from Hugging Face ($0.01/1M input tokens); Qwen3-4B-Thinking-2507 from Hugging Face ($0.01/1M input tokens); Qwen2.5-Coder-7B from Nebius ($0.01/1M input tokens); Qwen2.5-Coder-7B-Instruct from Hugging Face ($0.01/1M 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 $0.01 per 1M input tokens, ling-2.6-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.
ling-2.6-flash supports up to 262,144 input tokens, placing it in the top 29% of chat models by context window size (rank 641 of 2482). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
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.
ling-2.6-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 $0.01 and generating 1M output tokens costs $0.03.