Goliath 120B
Goliath 120B • LLM
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...
Specifications
Context Window
6K tokens
Input Price/1M
$3.75
Output Price/1M
$7.50
Parameters
—
Max Output
1K tokens
Information
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Goliath 120B
What is Goliath 120B?
Goliath 120B is an AI model developed by Goliath 120B, classified as a large language model (LLM). It focuses on text processing and natural language generation. As an open source model, it is available for download, customization, and on-premises deployment. With a context window of 6K tokens, it is suitable for processing short documents and direct prompts.
Pricing & Costs in 2026
Goliath 120B is usage-based, priced at $3.75/1M input tokens and $7.5/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.
Benchmarks & Performance
We don't have detailed benchmark results for Goliath 120B yet. Benchmarks are updated weekly as new data becomes available from sources like Artificial Analysis, LM Arena, and LiveBench.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Goliath 120B is suitable for a wide range of AI applications: text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, Goliath 120B competes directly with similarly capable models. Goliath 120B competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is 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...
How much does Goliath 120B cost?
Goliath 120B costs $3.75/1M input tokens and $7.5/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Goliath 120B compare with other models?
We don't have detailed benchmarks for Goliath 120B yet. Check the main benchmark page to compare available models.
Is Goliath 120B open source?
Yes, Goliath 120B is an open source model. You can deploy it on-premises, customize it via fine-tuning, and maintain full control over your data. Check the official repository for the specific license.
What is Goliath 120B best for?
Goliath 120B excels at general-purpose language tasks.
Last updated: May 15, 2026 • View methodology →