OpenAI text-embedding-3 vs Voyage-3
A head-to-head comparison of two leading embedding models for AI-powered growth. See how they stack up on pricing, performance, and capabilities.
OpenAI text-embedding-3
Pricing: $0.02-0.13 per 1M tokens
Best for: Best general-purpose embeddings with flexible dimension tuning
Voyage-3
Pricing: Free tier, then $0.06 per 1M tokens
Best for: Code search, technical documentation, and developer tools
Head-to-Head Comparison
| Criteria | OpenAI text-embedding-3 | Voyage-3 |
|---|---|---|
| Accuracy (MTEB) | 64.6 overall MTEB | Competitive overall; leads on code and technical retrieval |
| Cost per 1M Tokens | $0.02-$0.13 per 1M tokens | $0.06 per 1M tokens |
| Multilingual Support | Strong multilingual coverage | Primarily English and code; lighter multilingual coverage |
| Self-Hosting | Not available | Not available — API only |
| Dimension Flexibility | 256–3072 (Matryoshka) | Fixed 1024 dimensions |
The Verdict
Voyage-3 stands out for applications involving code retrieval, technical documentation search, or developer tooling, where its specialized training gives measurably better results than general-purpose models. OpenAI text-embedding-3 is the safer general-purpose choice for mixed content (prose, structured data, instructions) and benefits from Matryoshka dimension truncation. For a code-search or developer-facing product, Voyage-3 at $0.06/1M tokens is both cheaper than text-embedding-3-large and more accurate on the relevant benchmarks.
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