Google: Gemini Embedding 001 vs VoyageAI by MongoDB: voyage-4-large
A side-by-side comparison of Google: Gemini Embedding 001 ($0.52 / 1M tokens) and VoyageAI by MongoDB: voyage-4-large ($0.42 / 1M tokens) using current USD prices and capabilities from the api14 catalog. Both run through the same OpenAI-compatible API.
Specifications
| Google: Gemini Embedding 001 | VoyageAI by MongoDB: voyage-4-large | |
|---|---|---|
| Provider | VoyageAI by MongoDB | |
| Input | $0.52 / 1M tokens | $0.42 / 1M tokens |
| Context window | 20,000 | 32,000 |
| Max output | 18,000 | 28,800 |
| Input | text | text |
| Output | embeddings | embeddings |
| Tool calling | ||
| Structured output | ||
| Reasoning control | ||
| Added | Oct 31, 2025 | Jul 27, 2026 |
Key differences
- VoyageAI by MongoDB: voyage-4-large is 20% cheaper on input tokens.
- VoyageAI by MongoDB: voyage-4-large reads 1.6× more context (32,000 tokens).
Switch with one string
Both models use the same endpoint and request shape. Change the model value from "google/gemini-embedding-001" to "mongodb/voyage-4-large" 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-large",
"input": [
"The quick brown fox",
"Lorem ipsum"
]
});
console.log(result.data.map((d) => d.embedding.length));
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