---
title: "lfm-7b Cost Calculator - Lambda Ai"
description: "Calculate the cost of using lfm-7b from Lambda Ai. Input costs $0.02 and output $0.04 per 1M tokens."
url: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/lambda_ai/model/lfm-7b"
markdown: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/lambda_ai/model/lfm-7b.md"
---

# lfm-7b Cost Calculator - Lambda Ai

> Calculate the cost of using lfm-7b from Lambda Ai. Input costs $0.02 and output $0.04 per 1M tokens.

## Important Links

- [View MCP Gateway](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/resources/mcp-gateway.md)
- [Features](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/#features)
- [Enterprise](https://www.getmaxim.ai/enterprise)
- [Pricing](https://www.getmaxim.ai/pricing)
- [Docs](https://docs.getbifrost.ai)
- [GitHub](https://github.com/maximhq/bifrost)
- [Book a Demo](https://www.getmaxim.ai/book-a-demo)

## About lfm-7b

lfm-7b is a chat model from Lambda Ai, one of 20 chat models they offer. It is priced at $0.02 per 1M input tokens and $0.04 per 1M output tokens, ranking 37 out of 3254 chat models by cost and cheaper than 99% of models in this category. lfm-7b supports function calling. It accepts up to 131K input tokens.

## Pricing

Published Lambda Ai pricing for lfm-7b.

- **$0.02 / 1M tokens Input.**
- **$0.04 / 1M tokens Output.**

## Technical Specifications

- **Chat Mode.**
- **131,072 Max Input Tokens.**
- **131,072 Max Output Tokens.**
- **131,072 Max Tokens.**

## Model Capabilities

lfm-7b supports: Function Calling, Parallel Function Calling, System Messages, Tool Choice.

## How Pricing Compares

At $0.02 per 1M input tokens and $0.04 per 1M output tokens, lfm-7b ranks 37 out of 3254 chat models by input cost. It is more affordable compared to the median of $0.52 for chat models, and is cheaper than 99% of models in this category.

lfm-7b is one of 20 Lambda Ai chat models, with support for function calling.

| Model | Provider | Input $/1M | Output $/1M | vs lfm-7b |
| --- | --- | --- | --- | --- |
| Llama-3.2-3B-Instruct | DeepInfra | $0.02 | $0.02 | -20% |
| Meta-Llama-3-8B-Instruct | DeepInfra | $0.03 | $0.04 | +20% |
| Meta-Llama-3.1-8B-Instruct | DeepInfra | $0.02 | $0.05 | -20% |
| Meta-Llama-3.1-8B-Instruct-Turbo | DeepInfra | $0.02 | $0.03 | -20% |
| Mistral-Nemo-Instruct-2407 | DeepInfra | $0.02 | $0.04 | -20% |

## More from Lambda Ai

- [hermes3-8b ($0.02/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/lambda_ai/model/hermes3-8b.md)
- [llama3.1-8b-instruct ($0.02/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/lambda_ai/model/llama3.1-8b-instruct.md)
- [llama3.2-11b-vision-instruct ($0.01/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/lambda_ai/model/llama3.2-11b-vision-instruct.md)
- [llama3.2-3b-instruct ($0.01/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/lambda_ai/model/llama3.2-3b-instruct.md)

## Related Resources

- [All Lambda Ai pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/lambda_ai.md)

## FAQ

### Is lfm-7b cheaper than Llama-3.2-3B-Instruct?

No. lfm-7b costs $0.02 per 1M input tokens while Llama-3.2-3B-Instruct costs $0.02 per 1M input tokens, making Llama-3.2-3B-Instruct 20% more affordable for input. However, lfm-7b may offer different capabilities or performance characteristics that justify the price difference.

### How does lfm-7b pricing compare to the average chat model?

lfm-7b input pricing is $0.02 per 1M tokens, which is 95% below the median of $0.52 for chat models. It ranks 37 out of 3254 chat models by input cost, making it cheaper than 99% of models in this category. For output, it costs $0.04 per 1M tokens compared to the median of $1.50.

### What makes lfm-7b different from other Lambda Ai models?

Among Lambda Ai's 20 chat models, lfm-7b ranks 4 by input cost.

### What are the best alternatives to lfm-7b?

The most comparable chat models to lfm-7b are: Llama-3.2-3B-Instruct from DeepInfra ($0.02/1M input tokens); Meta-Llama-3-8B-Instruct from DeepInfra ($0.03/1M input tokens); Meta-Llama-3.1-8B-Instruct from DeepInfra ($0.02/1M input tokens); Meta-Llama-3.1-8B-Instruct-Turbo from DeepInfra ($0.02/1M 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 calculate lfm-7b costs?

lfm-7b 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 $0.02 and generating 1M output tokens costs $0.04.

## Related Resources

- [All Lambda Ai pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/lambda_ai.md)
- [LLM cost calculator](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator.md)
- [Model library](https://maxim-root-proxy-preview.getmaxim.workers.dev/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)
- [Enterprise: Bifrost enterprise](https://www.getmaxim.ai/enterprise)
- [Book a Demo: Bifrost demo](https://www.getmaxim.ai/book-a-demo)
- [Resources: Bifrost resources](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/resources.md)

---

*This is a markdown version of [https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/lambda_ai/model/lfm-7b](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/lambda_ai/model/lfm-7b) for AI/LLM consumption.*
