VoyageAI by MongoDB: rerank-2.5-lite vs NVIDIA: Llama Nemotron Rerank VL 1B V2 (free)
A side-by-side comparison of VoyageAI by MongoDB: rerank-2.5-lite (Free) and NVIDIA: Llama Nemotron Rerank VL 1B V2 (free) (Free) using current USD prices and capabilities from the api14 catalog. Both run through the same OpenAI-compatible API.
Specifications
| VoyageAI by MongoDB: rerank-2.5-lite | NVIDIA: Llama Nemotron Rerank VL 1B V2 (free) | |
|---|---|---|
| Provider | VoyageAI by MongoDB | NVIDIA |
| Context window | 32,000 | 10,240 |
| Max output | 28,800 | 9,216 |
| Input | text | text, image |
| Output | rerank | rerank |
| Tool calling | ||
| Structured output | ||
| Reasoning control | ||
| Added | Jul 27, 2026 | Jun 9, 2026 |
Key differences
- VoyageAI by MongoDB: rerank-2.5-lite reads 3.1× more context (32,000 tokens).
Switch with one string
Both models use the same endpoint and request shape. Change the model value from "mongodb/rerank-2.5-lite" to "nvidia/llama-nemotron-rerank-vl-1b-v2:free" and prompts, streaming and tools keep working.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api14.com/api/v1",
apiKey: process.env.API14_API_KEY,
});
const result = await client.post("/rerank", { body: {
"model": "nvidia/llama-nemotron-rerank-vl-1b-v2:free",
"query": "What is the capital of France?",
"documents": [
"Paris is the capital of France.",
"Berlin is in Germany."
],
"top_n": 1
} });
console.log(result.results);
More comparisons
- Cohere: Rerank 5 Fast vs Cohere: Rerank 5 Pro
- Cohere: Rerank 5 Fast vs VoyageAI by MongoDB: rerank-3
- Cohere: Rerank 5 Fast vs VoyageAI by MongoDB: rerank-3-lite
- Cohere: Rerank 5 Fast vs Qwen3 Reranker 8B
- Cohere: Rerank 5 Pro vs VoyageAI by MongoDB: rerank-3
- Cohere: Rerank 5 Pro vs VoyageAI by MongoDB: rerank-3-lite
- Cohere: Rerank 5 Pro vs Qwen3 Reranker 8B
- VoyageAI by MongoDB: rerank-3 vs VoyageAI by MongoDB: rerank-3-lite