Side-by-side comparison
Rnj 1 Instruct vs Llama 3.1 8B Instruct
EssentialAI
Rnj 1 Instruct
🔧 Tools
{} JSON
Input / 1M
$0.1500
Output / 1M
$0.1500
Meta
Llama 3.1 8B Instruct
🔧 Tools
{} JSON
Input / 1M
$0.0200
Output / 1M
$0.0500
| Rnj 1 Instruct | Llama 3.1 8B Instruct | |
|---|---|---|
| Provider | EssentialAI | Meta |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 32,768 | 16,384 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | tools, json_mode | tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.1500 | 0.0200 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.1500 | 0.0500 |
Frequently asked questions
Which is cheaper, Rnj 1 Instruct or Llama 3.1 8B Instruct?
Llama 3.1 8B Instruct is cheaper than Rnj 1 Instruct on a 50/50 input/output blend by about $0.115 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, Rnj 1 Instruct or Llama 3.1 8B Instruct?
Rnj 1 Instruct has the larger context window at 33k tokens versus 16k tokens for Llama 3.1 8B Instruct. That means Rnj 1 Instruct can ingest about 2.0x as much text per request.
What is the difference between Rnj 1 Instruct and Llama 3.1 8B Instruct?
Rnj 1 Instruct comes from EssentialAI; Llama 3.1 8B Instruct comes from Meta. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.