Side-by-side comparison
Gemma 3n 4B vs Reka Flash 3
| Gemma 3n 4B | Reka Flash 3 | |
|---|---|---|
| Provider | Rekaai | |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 32,768 | 65,536 |
| 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 | 0.1000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.1200 | 0.2000 |
Frequently asked questions
Which is cheaper, Gemma 3n 4B or Reka Flash 3?
Gemma 3n 4B is cheaper than Reka Flash 3 on a 50/50 input/output blend by about $0.06 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, Gemma 3n 4B or Reka Flash 3?
Reka Flash 3 has the larger context window at 66k tokens versus 33k tokens for Gemma 3n 4B. That means Reka Flash 3 can ingest about 2.0x as much text per request.
What is the difference between Gemma 3n 4B and Reka Flash 3?
Gemma 3n 4B comes from Google; Reka Flash 3 comes from Rekaai. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.