Side-by-side comparison
Llama 3.2 3B Instruct vs Cydonia 24B V4.1
| Llama 3.2 3B Instruct | Cydonia 24B V4.1 | |
|---|---|---|
| Provider | Meta | TheDrummer |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 80,000 | 131,072 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | text-only | text-only |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.0510 | 0.3000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.3400 | 0.5000 |
Frequently asked questions
Which is cheaper, Llama 3.2 3B Instruct or Cydonia 24B V4.1?
Llama 3.2 3B Instruct is cheaper than Cydonia 24B V4.1 on a 50/50 input/output blend by about $0.2045 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, Llama 3.2 3B Instruct or Cydonia 24B V4.1?
Cydonia 24B V4.1 has the larger context window at 131k tokens versus 80k tokens for Llama 3.2 3B Instruct. That means Cydonia 24B V4.1 can ingest about 1.6x as much text per request.
What is the difference between Llama 3.2 3B Instruct and Cydonia 24B V4.1?
Llama 3.2 3B Instruct comes from Meta; Cydonia 24B V4.1 comes from TheDrummer. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.