--- title: "beam Cost Calculator - Nebius" description: "Calculate the cost of using beam from Nebius. Input costs $0.25 and output $1.00 per 1M tokens." url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/nebius/model/beam" markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/nebius/model/beam.md" --- # beam Cost Calculator - Nebius > Calculate the cost of using beam from Nebius. Input costs $0.25 and output $1.00 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 beam beam is a chat model from Nebius, one of 58 chat models they offer. It is priced at $0.25 per 1M input tokens and $1.00 per 1M output tokens, ranking 1263 out of 3791 chat models by cost and cheaper than 66% of models in this category. beam supports function calling, reasoning. Its 1,049K-token context window is in the top 14% among chat models. ## Pricing Published Nebius pricing for beam. - **$0.25 / 1M tokens Input.** - **$1.00 / 1M tokens Output.** ## Technical Specifications - **Chat Mode.** - **1,048,576 Max Input Tokens.** - **1,048,576 Max Tokens.** ## Model Capabilities beam supports: Function Calling, Reasoning. ## How Pricing Compares At $0.25 per 1M input tokens and $1.00 per 1M output tokens, beam ranks 1263 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 66% of models in this category. beam is one of 58 Nebius chat models, with support for function calling, reasoning. its 1,049K-token context window places it in the top 14% of chat models. | Model | Provider | Input $/1M | Output $/1M | vs beam | | --- | --- | --- | --- | --- | | amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.30 | $2.50 | +20% | | gpt-5.4-nano | Azure | $0.20 | $1.25 | -20% | | gpt-5.4-nano-2026-03-17 | Azure | $0.20 | $1.25 | -20% | | gpt-5-mini-2025-08-07 | Azure | $0.28 | $2.20 | +10% | | gpt-5-mini | Azure | $0.25 | $2.00 | 0% | ## More from Nebius - [DeepSeek-R1-Distill-Llama-70B ($0.25/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/nebius/model/deepseek-r1-distill-llama-70b.md) - [Qwen2.5-VL-72B-Instruct ($0.25/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/nebius/model/qwen2.5-vl-72b-instruct.md) - [Llama-Guard-3-8B ($0.20/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/nebius/model/llama-guard-3-8b.md) - [Qwen3-235B-A22B ($0.20/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/nebius/model/qwen3-235b-a22b.md) ## Related Resources - [All Nebius pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/nebius.md) ## FAQ ### Is beam cheaper than amazon.nova-2-lite-v1:0? Yes. beam costs $0.25 per 1M input tokens compared to amazon.nova-2-lite-v1:0's $0.30 per 1M input tokens, making it 20% more affordable. Both are chat models and share support for vision, function calling, reasoning, prompt caching, structured output. ### How does beam pricing compare to the average chat model? beam input pricing is $0.25 per 1M tokens, which is 58% below the median of $0.60 for chat models. It ranks 1263 out of 3791 chat models by input cost, making it cheaper than 66% of models in this category. For output, it costs $1.00 per 1M tokens compared to the median of $1.75. ### What makes beam different from other Nebius models? Among Nebius's 58 chat models, beam ranks 33 by input cost. ### What are the best alternatives to beam? The most comparable chat models to beam are: amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.30/1M input tokens); gpt-5.4-nano from Azure ($0.20/1M input tokens); gpt-5.4-nano-2026-03-17 from Azure ($0.20/1M input tokens); gpt-5-mini-2025-08-07 from Azure ($0.28/1M 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 beam's context window? beam supports up to 1,048,576 input tokens, placing it in the top 14% of chat models by context window size (rank 341 of 3512). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories. ### How do I calculate beam costs? beam 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 $0.25 and generating 1M output tokens costs $1.00. ## Related Resources - [All Nebius pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/nebius.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/nebius/model/beam](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/nebius/model/beam) for AI/LLM consumption.*