alpindale/goliath-120b
6,144 context · $3.75/M input tokens · $7.50/M output tokens
A large LLM created by combining two fine-tuned Llama 70B models into one 120B model. Combines Xwin and Euryale. Credits to - @chargoddard for developing the framework used to merge...
Pay-per-use
No upfront costs, pay only for what you use
Use the following code examples to integrate with our API:
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="alpindale/goliath-120b",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)A large LLM created by combining two fine-tuned Llama 70B models into one 120B model
A large LLM created by combining two fine-tuned Llama 70B models into one 120B model. Combines Xwin and Euryale.
Credits to
#merge
| Specification | Value |
|---|---|
| Provider | Alpindale |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 6144 tokens |
| Max Output | 1024 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $4.1 |
| Output | $8.2 |
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: alpindale/goliath-120b
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="alpindale/goliath-120b",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)curl https://llm.wavespeed.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "alpindale/goliath-120b",
"messages": [{"role": "user", "content": "Hello!"}]
}'alpindale/goliath-120b
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...
Input
$3.75 /M
Output
$7.5 /M
Context
6K
Max Output
1K
Access Goliath 120b through our unified API — OpenAI-compatible, no cold starts, transparent pricing.
Open PlaygroundPricing on WaveSpeedAI: $3.75 per million input tokens and $7.50 per million output tokens. Prompt caching and batch processing are billed separately and reduce effective cost on long, repetitive workloads.
Goliath 120b supports up to 6K tokens of context with up to 1K tokens of output per request.
Yes. WaveSpeedAI exposes Goliath 120b through an OpenAI-compatible endpoint at https://llm.wavespeed.ai/v1. Point the official OpenAI SDK at this base URL with your WaveSpeedAI API key — no other code changes required.
Sign in to WaveSpeedAI, create an API key in Access Keys, then send a request to https://llm.wavespeed.ai/v1/chat/completions with model id set to the value shown above. New accounts receive free credits to evaluate Goliath 120b before paying per token.