Calculate the cost of using ling-3.1-flash from OpenRouter for your AI applications
Pricing data last updated:
Mode: Chat
Max: 262,144 tokens
Max: 235,929 tokens
Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.
ling-3.1-flash is a chat model from OpenRouter, one of 502 chat models they offer. It is priced at $0.07 per 1M input tokens and $0.22 per 1M output tokens, ranking 312 out of 3778 chat models by cost and cheaper than 91% of models in this category. ling-3.1-flash supports function calling, reasoning, prompt caching, structured output. Its 262K-token context window is in the top 45% 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 235,929 tokens.
At $0.07 per 1M input tokens and $0.22 per 1M output tokens, ling-3.1-flash ranks 312 out of 3778 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-3.1-flash is one of 502 OpenRouter chat models, with support for function calling, reasoning, prompt caching, structured output. its 262K-token context window places it in the top 45% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs ling-3.1-flash |
|---|---|---|---|---|
| DeepSeek-V4-Flash-0731 | Sail | $0.09 | $0.18 | +20% |
| DeepSeek-V4.1-Flash | Sail | $0.09 | $0.30 | +20% |
| gpt-oss-20b | Tensormesh | $0.07 | $0.28 | -7% |
Similar chat models from other providers
Yes. ling-3.1-flash costs $0.07 per 1M input tokens compared to DeepSeek-V4-Flash-0731's $0.09 per 1M input tokens, making it 20% more affordable. Both are chat models and share support for function calling, reasoning, prompt caching, structured output.
ling-3.1-flash input pricing is $0.07 per 1M tokens, which is 88% below the median of $0.60 for chat models. It ranks 312 out of 3778 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 $1.75.
Among OpenRouter's 502 chat models, ling-3.1-flash ranks 52 by input cost.
The most comparable chat models to ling-3.1-flash are: DeepSeek-V4-Flash-0731 from Sail ($0.09/1M input tokens); DeepSeek-V4.1-Flash from Sail ($0.09/1M input tokens); gpt-oss-20b from Tensormesh ($0.07/1M input tokens); glm-4.7-flash from Novita ($0.07/1M 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.
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-3.1-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 $0.07 and generating 1M output tokens costs $0.22.