Side-by-side comparison
Voxtral Small 24B 2507 vs Rnj 1 Instruct
Mistral
Voxtral Small 24B 2507
🔧 Tools
{} JSON
Input / 1M
$0.1000
Output / 1M
$0.3000
EssentialAI
Rnj 1 Instruct
🔧 Tools
{} JSON
Input / 1M
$0.1500
Output / 1M
$0.1500
| Voxtral Small 24B 2507 | Rnj 1 Instruct | |
|---|---|---|
| Provider | Mistral | EssentialAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 32,000 | 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 → | 0.1000 | 0.1500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.3000 | 0.1500 |
Frequently asked questions
Which is cheaper, Voxtral Small 24B 2507 or Rnj 1 Instruct?
Rnj 1 Instruct is cheaper than Voxtral Small 24B 2507 on a 50/50 input/output blend by about $0.05 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, Voxtral Small 24B 2507 or Rnj 1 Instruct?
Rnj 1 Instruct has the larger context window at 33k tokens versus 32k tokens for Voxtral Small 24B 2507. That means Rnj 1 Instruct can ingest about 1.0x as much text per request.
What is the difference between Voxtral Small 24B 2507 and Rnj 1 Instruct?
Voxtral Small 24B 2507 comes from Mistral; 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.