Goliath 120B

Llama2

Text

Paid

A large LLM created by combining two fine-tuned Llama 70B models into one 120B model. Combines Xwin and Euryale. Credits to - [@chargoddard](https://huggingface.co/chargoddard) for developing the framework used to merge the model - [mergekit](https://github.com/cg123/mergekit). - [@Undi95](https://huggingface.co/Undi95) for helping with the merge ratios. #merge

Parameters

120B

Context Window

6,144

tokens

Input Price

$6.5625

per 1M tokens

Output Price

$9.375

per 1M tokens

Capabilities

Model capabilities and supported modalities

Performance

Reasoning

Math

Coding

Knowledge

Modalities

Input Modalities

text

Output Modalities

text

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LLM Price Calculator

Calculate the cost of using this model

Input Tokens (0.00000656/token)$0.009844

Output Tokens (0.00000937/token)$0.028125

Common Scenarios:

Input Cost:$0.009844

Output Cost:$0.028125

Total Cost:$0.037969

Estimated usage: 4,500 tokens

Monthly Cost Estimator

Based on different usage levels

Light Usage

$0.1594

~10 requests

Moderate Usage

$1.5938

~100 requests

Heavy Usage

$15.9375

~1000 requests

Enterprise

$159.3750

~10,000 requests

Note: Estimates based on current token count settings per request.

Last Updated: 2025/05/06