Side-by-side comparison
Gemma 2 27B vs Llama 3 8B Lunaris
| Gemma 2 27B | Llama 3 8B Lunaris | |
|---|---|---|
| Provider | Sao10K | |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 8,192 | 8,192 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | json_mode | json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.6500 | 0.0400 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.6500 | 0.0500 |
Frequently asked questions
Which is cheaper, Gemma 2 27B or Llama 3 8B Lunaris?
Llama 3 8B Lunaris is cheaper than Gemma 2 27B on a 50/50 input/output blend by about $0.605 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
What is the difference between Gemma 2 27B and Llama 3 8B Lunaris?
Gemma 2 27B comes from Google; Llama 3 8B Lunaris comes from Sao10K. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.