Side-by-side comparison
Llama 3.2 1B Instruct vs Reka Flash 3
| Llama 3.2 1B Instruct | Reka Flash 3 | |
|---|---|---|
| Provider | Meta | Rekaai |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 60,000 | 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 → | 0.0270 | 0.1000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.2000 | 0.2000 |
Frequently asked questions
Which is cheaper, Llama 3.2 1B Instruct or Reka Flash 3?
Llama 3.2 1B Instruct is cheaper than Reka Flash 3 on a 50/50 input/output blend by about $0.0365 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 1B Instruct or Reka Flash 3?
Reka Flash 3 has the larger context window at 66k tokens versus 60k tokens for Llama 3.2 1B Instruct. That means Reka Flash 3 can ingest about 1.1x as much text per request.
What is the difference between Llama 3.2 1B Instruct and Reka Flash 3?
Llama 3.2 1B Instruct comes from Meta; 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.