Side-by-side comparison
Gemma 3n 4B vs LFM2.5-1.2B-Thinking (free)
LiquidAI
LFM2.5-1.2B-Thinking (free)
Input / 1M
$0.0000
Output / 1M
$0.0000
| Gemma 3n 4B | LFM2.5-1.2B-Thinking (free) | |
|---|---|---|
| Provider | LiquidAI | |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 32,768 | 32,768 |
| 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 → | 0.0600 | 0.0000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.1200 | 0.0000 |
Frequently asked questions
Which is cheaper, Gemma 3n 4B or LFM2.5-1.2B-Thinking (free)?
LFM2.5-1.2B-Thinking (free) is cheaper than Gemma 3n 4B on a 50/50 input/output blend by about $0.09 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 3n 4B and LFM2.5-1.2B-Thinking (free)?
Gemma 3n 4B comes from Google; LFM2.5-1.2B-Thinking (free) comes from LiquidAI. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.