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 - [mergek…
Model details →Goliath 120B vs OpenAI: GPT-3.5 Turbo
OpenAI: GPT-3.5 Turbo wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.
Model details →Side-by-side comparison
| Capability | Goliath 120B | OpenAI: GPT-3.5 Turbo | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 6K | 16K | 🏆 OpenAI: GPT-3.5 Turbo |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $3.75 | $0.50 | 🏆 OpenAI: GPT-3.5 Turbo |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $7.50 | $1.50 | 🏆 OpenAI: GPT-3.5 Turbo |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 OpenAI: GPT-3.5 Turbo |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Goliath 120B better than OpenAI: GPT-3.5 Turbo?
OpenAI: GPT-3.5 Turbo wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Goliath 120B and OpenAI: GPT-3.5 Turbo?
Input: $3.75 vs $0.50 per 1M tokens. Output: $7.50 vs $1.50 per 1M tokens.
What context windows do Goliath 120B and OpenAI: GPT-3.5 Turbo support?
Goliath 120B supports up to 6K tokens. OpenAI: GPT-3.5 Turbo supports up to 16K tokens.
Do both Goliath 120B and OpenAI: GPT-3.5 Turbo support tool calling?
Goliath 120B: not advertised. OpenAI: GPT-3.5 Turbo: yes.