--- title: "ALIA-40b-instruct-2606 Cost Calculator - Hugging Face" description: "Calculate the cost of using ALIA-40b-instruct-2606 from Hugging Face. Input costs $0.30 and output $0.60 per 1M tokens." url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/huggingface/model/alia-40b-instruct-2606" markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/huggingface/model/alia-40b-instruct-2606.md" --- # ALIA-40b-instruct-2606 Cost Calculator - Hugging Face > Calculate the cost of using ALIA-40b-instruct-2606 from Hugging Face. Input costs $0.30 and output $0.60 per 1M tokens. ## 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 ALIA-40b-instruct-2606 ALIA-40b-instruct-2606 is a chat model from Hugging Face, one of 178 chat models they offer. It is priced at $0.30 per 1M input tokens and $0.60 per 1M output tokens, ranking 1482 out of 3791 chat models by cost and cheaper than 61% of models in this category. ALIA-40b-instruct-2606 supports function calling, structured output. It accepts up to 66K input tokens. ## Pricing Published Hugging Face pricing for ALIA-40b-instruct-2606. - **$0.30 / 1M tokens Input.** - **$0.60 / 1M tokens Output.** ## Technical Specifications - **Chat Mode.** - **65,536 Max Input Tokens.** - **65,536 Max Tokens.** ## Model Capabilities ALIA-40b-instruct-2606 supports: Function Calling, Response Schema, Tool Choice. ## How Pricing Compares At $0.30 per 1M input tokens and $0.60 per 1M output tokens, ALIA-40b-instruct-2606 ranks 1482 out of 3791 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. ALIA-40b-instruct-2606 is one of 178 Hugging Face chat models, with support for function calling, structured output. | Model | Provider | Input $/1M | Output $/1M | vs ALIA-40b-instruct-2606 | | --- | --- | --- | --- | --- | | amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.30 | $2.50 | 0% | | us.amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.33 | $2.75 | +10% | | gpt-5-mini-2025-08-07 | Azure | $0.28 | $2.20 | -8% | | gpt-5-mini | Azure | $0.25 | $2.00 | -17% | | minimax.minimax-m2.1 | AWS Bedrock | $0.36 | $1.44 | +20% | ## More from Hugging Face - [DeepSeek-V4.1-Flash-1017 ($0.30/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/huggingface/model/deepseek-v4.1-flash-1017.md) - [DeepSeek-V4.1-Flash ($0.30/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/huggingface/model/deepseek-v4.1-flash.md) ## Related Resources - [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 ALIA-40b-instruct-2606 cheaper than amazon.nova-2-lite-v1:0? No. ALIA-40b-instruct-2606 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, ALIA-40b-instruct-2606 may offer different capabilities or performance characteristics that justify the price difference. ### How does ALIA-40b-instruct-2606 pricing compare to the average chat model? ALIA-40b-instruct-2606 input pricing is $0.30 per 1M tokens, which is 50% below the median of $0.60 for chat models. It ranks 1482 out of 3791 chat models by input cost, making it cheaper than 61% of models in this category. For output, it costs $0.60 per 1M tokens compared to the median of $1.75. ### What makes ALIA-40b-instruct-2606 different from other Hugging Face models? Among Hugging Face's 178 chat models, ALIA-40b-instruct-2606 ranks 108 by input cost. ### What are the best alternatives to ALIA-40b-instruct-2606? The most comparable chat models to ALIA-40b-instruct-2606 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 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 ALIA-40b-instruct-2606 costs? ALIA-40b-instruct-2606 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 $0.60. ## Related Resources - [All Hugging Face pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/huggingface.md) - [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.md) - [Model library](https://www.getmaxim.ai/bifrost/model-library.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/llm-cost-calculator/provider/huggingface/model/alia-40b-instruct-2606](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/huggingface/model/alia-40b-instruct-2606) for AI/LLM consumption.*