Side-by-side comparison
Qwen3 32B vs Rnj 1 Instruct
EssentialAI
Rnj 1 Instruct
🔧 Tools
{} JSON
Input / 1M
$0.1500
Output / 1M
$0.1500
| Qwen3 32B | Rnj 1 Instruct | |
|---|---|---|
| Provider | Qwen | EssentialAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 40,960 | 32,768 |
| 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 → | 0.0800 | 0.1500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.2800 | 0.1500 |
Frequently asked questions
Which is cheaper, Qwen3 32B or Rnj 1 Instruct?
Rnj 1 Instruct is cheaper than Qwen3 32B on a 50/50 input/output blend by about $0.03 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, Qwen3 32B or Rnj 1 Instruct?
Qwen3 32B has the larger context window at 41k tokens versus 33k tokens for Rnj 1 Instruct. That means Qwen3 32B can ingest about 1.3x as much text per request.
What is the difference between Qwen3 32B and Rnj 1 Instruct?
Qwen3 32B comes from Qwen; Rnj 1 Instruct comes from EssentialAI. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.