--- title: "Ling-3.1-flash - Model Details & Comparison" description: "Ling-3.1-flash from Hugging Face: capabilities, context limits, pricing, and side-by-side comparisons with alternative models." url: "https://www.getmaxim.ai/bifrost/model-library/compare/huggingface/ling-3.1-flash" markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/huggingface/ling-3.1-flash.md" --- # Ling-3.1-flash - Model Details & Comparison > Ling-3.1-flash from Hugging Face: capabilities, context limits, pricing, and side-by-side comparisons with alternative models. ## Important Links - [View MCP Gateway](https://www.getmaxim.ai/resources/mcp-gateway.md) - [Features](https://www.getmaxim.ai/bifrost/#features) - [Enterprise](https://www.getmaxim.ai/enterprise) - [Pricing](https://www.getmaxim.ai/pricing.md) - [Docs](https://docs.getbifrost.ai) - [GitHub](https://github.com/maximhq/bifrost) - [Book a Demo](https://www.getmaxim.ai/book-a-demo) ## About Ling-3.1-flash Ling-3.1-flash is a chat model from Hugging Face, one of 172 chat models they offer. It is priced at $0.30 per 1M input tokens and $0.90 per 1M output tokens, ranking 1570 out of 4042 chat models by cost and cheaper than 61% of models in this category. Ling-3.1-flash supports function calling. Its 1,000K-token context window is in the top 28% among chat models. ## Specifications - **Hugging Face Provider.** - **Chat Mode.** - **1,000,000 Max Input Tokens.** - **1,000,000 Max Tokens.** - **$0.30 / 1M tokens Input Price.** - **$0.90 / 1M tokens Output Price.** ## Capabilities Ling-3.1-flash supports: Function Calling, Tool Choice. ## Ling-3.1-flash Pricing Overview At $0.30 per 1M input tokens and $0.90 per 1M output tokens, Ling-3.1-flash ranks 1570 out of 4042 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 61% of models in this category. Ling-3.1-flash is one of 172 Hugging Face chat models, with support for function calling. its 1,000K-token context window places it in the top 28% of chat models. ## Models to Compare Alternatives to Ling-3.1-flash with comparable capabilities. | Model | Provider | Input $/1M | Output $/1M | | --- | --- | --- | --- | | amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.30 | $2.50 | | us.amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.33 | $2.75 | | gpt-5-mini-2025-08-07 | Azure | $0.28 | $2.20 | | gpt-5-mini | Azure | $0.25 | $2.00 | | FW-MiniMax-M2.5 | Azure | $0.33 | $1.32 | - [Compare gpt-5-mini-2025-08-07](https://www.getmaxim.ai/bifrost/model-library/compare/azure/gpt-5-mini-2025-08-07.md) - [Compare gpt-5-mini](https://www.getmaxim.ai/bifrost/model-library/compare/azure/gpt-5-mini.md) - [Compare FW-MiniMax-M2.5](https://www.getmaxim.ai/bifrost/model-library/compare/azure/fw-minimax-m2.5.md) ## Related Resources - [Calculate Ling-3.1-flash costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/huggingface/model/ling-3.1-flash.md) - [Check Hugging Face status](https://www.getmaxim.ai/bifrost/provider-status/huggingface.md) - [All Hugging Face pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/huggingface.md) ## FAQ ### Is Ling-3.1-flash cheaper than amazon.nova-2-lite-v1:0? No. Ling-3.1-flash costs $0.30 per 1M input tokens while amazon.nova-2-lite-v1:0 costs $0.30 per 1M input tokens, making amazon.nova-2-lite-v1:0 0% more affordable for input. However, Ling-3.1-flash may offer different capabilities or performance characteristics that justify the price difference. ### How does Ling-3.1-flash pricing compare to the average chat model? Ling-3.1-flash input pricing is $0.30 per 1M tokens, which is 50% below the median of $0.60 for chat models. It ranks 1570 out of 4042 chat models by input cost, making it cheaper than 61% of models in this category. For output, it costs $0.90 per 1M tokens compared to the median of $1.80. ### What makes Ling-3.1-flash different from other Hugging Face models? Among Hugging Face's 172 chat models, Ling-3.1-flash ranks 102 by input cost. ### What are the best alternatives to Ling-3.1-flash? The most comparable chat models to Ling-3.1-flash are: amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.30/1M input tokens); us.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens); gpt-5-mini-2025-08-07 from Azure ($0.28/1M input tokens); gpt-5-mini from Azure ($0.25/1M 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 large is Ling-3.1-flash's context window? Ling-3.1-flash supports up to 1,000,000 input tokens, placing it in the top 28% of chat models by context window size (rank 1069 of 4003). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories. ### 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-3.1-flash costs? 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 $0.30 and generating 1M output tokens costs $0.90. ## Related Resources - [Model library](https://www.getmaxim.ai/bifrost/model-library.md) - [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.md) - [Docs: Bifrost docs](https://docs.getbifrost.ai) - [GitHub: maximhq/bifrost](https://github.com/maximhq/bifrost) - [Pricing: Bifrost pricing](https://www.getmaxim.ai/pricing.md) - [Enterprise: Bifrost enterprise](https://www.getmaxim.ai/enterprise) - [Book a Demo: Bifrost demo](https://www.getmaxim.ai/book-a-demo) - [Resources: Bifrost resources](https://www.getmaxim.ai/resources.md) --- *This is a markdown version of [https://www.getmaxim.ai/bifrost/model-library/compare/huggingface/ling-3.1-flash](https://www.getmaxim.ai/bifrost/model-library/compare/huggingface/ling-3.1-flash) for AI/LLM consumption.*