remm-slerp-l2-13b Cost Calculator - OpenRouter

Calculate the cost of using remm-slerp-l2-13b from OpenRouter for your AI applications

remm-slerp-l2-13b Cost Calculator

Mode: Chat

Input Tokens

Max: 6,144 tokens

Output Tokens

Max: 4,096 tokens

Cost Breakdown

Input Cost$0.001875

Output Cost$0.001875

Total Cost$0.003750

Pricing Details

Input: $0.00000188 per token

Output: $0.00000188 per token

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Model Specifications

Limits

Max Input Tokens6,144

Max Output Tokens4,096

Max Tokens4,096

About remm-slerp-l2-13b

remm-slerp-l2-13b is a powerful chat AI model offered by OpenRouter. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using remm-slerp-l2-13b in your applications.

Pricing Information

Input Cost$1.88 per 1M tokens

Output Cost$1.88 per 1M tokens

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

Technical Specifications

Maximum Input Tokens6,144

Maximum Output Tokens4,096

Maximum Total Tokens4,096

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 6,144 input tokens. The maximum output length is 4,096 tokens.

When should you use remm-slerp-l2-13b?

remm-slerp-l2-13b is best suited for the following scenarios:

General-purpose chat and text generation workloads

When should you avoid remm-slerp-l2-13b?

Complex multi-step reasoning or planning tasks
Applications requiring image, audio, or multimodal inputs
Very large documents or long conversational histories

How does remm-slerp-l2-13b compare to similar models?

This model offers competitive input token pricing, making it cost-effective for applications that require extensive context or frequent input processing.

Understanding remm-slerp-l2-13b pricing

remm-slerp-l2-13b is a general-purpose AI model provided by OpenRouter.
Input tokens are priced at $1.88 per 1M tokens.
Output tokens are priced at $1.88 per 1M tokens.
The model supports a maximum input capacity of 6,144 tokens.
Maximum output length is 4,096 tokens.
For this model, input tokens are more expensive than output tokens, so optimizing your prompts can help manage costs.
OpenRouter offers remm-slerp-l2-13b for general-purpose AI workloads — general-purpose AI workloads.

How to Use This Calculator

Step 1: Enter the number of input tokens you expect to use. Input tokens include your prompt, system messages, and any context you provide to the model.

Step 2: Specify the number of output tokens you anticipate. Output tokens are the text generated by the model in response to your input.

Step 3: Review the cost breakdown to see the total estimated cost for your usage. The calculator automatically updates as you adjust the token counts.