Goliath 120B✓ Catalog verified
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 the model - mergekit. - @Undi95 for helping with the merge ratios. #merge
Overview
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 the model - mergekit. - @Undi95 for helping with the merge ratios. #merge
Access: available through the official Alpindale API. Context window: 6K.
Specifications
| API identifier | alpindale/goliath-120b |
| Provider | Alpindale |
| Model type | Text LLM |
| Context window | 6K catalog |
| Input modalities | text |
| Output modalities | text |
| Released | Nov 10, 2023 |
| Tokenizer | Llama2 |
| Instruction format | airoboros |
| Moderated | No |
| Architecture modality | text->text |
Pricing
Live pricing components for alpindale/goliath-120b as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $0.00000375 | $3.75 / 1M | Per input token |
| Completion tokens | $0.0000075 | $7.50 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | N/A | N/A | Per image unit |
| Web search fee | N/A | N/A | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$3.38Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | Not advertised | Image and document analysis support |
| Audio Processing | Not advertised | Speech and voice aligned flows |
| Tool Calling | Not advertised | Supports tools / function calling |
| Self-Hosting | Not advertised | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call Goliath 120B through an OpenAI-compatible client.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="alpindale/goliath-120b",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| ReMM SLERP 13B | Undi95 | 6K | $0.45 | View → |
| Inflection: Inflection 3 Pi | Inflection | 8K | $2.50 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does Goliath 120B cost?
$3.75 per 1M input tokens and $7.50 per 1M output tokens on the official Alpindale API.
What is the context window of Goliath 120B?
Goliath 120B supports up to 6K tokens of context.
Does Goliath 120B support tool / function calling?
Goliath 120B does not advertise first-class tool/function calling. Check vendor docs for the latest capabilities.
How do I access Goliath 120B?
Use the official Alpindale API with the model id `alpindale/goliath-120b`. See the Quick start section above for code examples.