Amazon: Titan Text Embeddings V2 vs VoyageAI by MongoDB: voyage-4-lite
A side-by-side comparison of Amazon: Titan Text Embeddings V2 ($0.07 / 1M tokens) and VoyageAI by MongoDB: voyage-4-lite ($0.07 / 1M tokens) using current USD prices and capabilities from the api14 catalog. Both run through the same OpenAI-compatible API.
Specifications
| Amazon: Titan Text Embeddings V2 | VoyageAI by MongoDB: voyage-4-lite | |
|---|---|---|
| Provider | Amazon | VoyageAI by MongoDB |
| Input | $0.07 / 1M tokens | $0.07 / 1M tokens |
| Context window | 8,192 | 32,000 |
| Max output | 7,372 | 28,800 |
| Input | text | text |
| Output | embeddings | embeddings |
| Tool calling | ||
| Structured output | ||
| Reasoning control | ||
| Added | Oct 26, 2026 | Jul 27, 2026 |
Key differences
- Both have about the same input price.
- VoyageAI by MongoDB: voyage-4-lite reads 3.9× more context (32,000 tokens).
Switch with one string
Both models use the same endpoint and request shape. Change the model value from "amazon/titan-embed-text-v2" to "mongodb/voyage-4-lite" 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.embeddings.create({
"model": "mongodb/voyage-4-lite",
"input": [
"The quick brown fox",
"Lorem ipsum"
]
});
console.log(result.data.map((d) => d.embedding.length));
More comparisons
- Amazon: Titan Multimodal Embeddings G1 vs Amazon: Titan Embeddings G1 - Text
- Amazon: Titan Multimodal Embeddings G1 vs Amazon: Titan Text Embeddings V2
- Amazon: Titan Multimodal Embeddings G1 vs Cohere: Embed 5 Fast
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- Amazon: Titan Embeddings G1 - Text vs Amazon: Titan Text Embeddings V2
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