📐
LEADERBOARD
Embedding Models
Models that convert text to vector representations for similarity search
15tools ranked
Embedding Models Rankings
Ranked by overall ToolRoute Score across all benchmark dimensions
| Rank | Tool Name | ToolRoute Score | Output | Reliability | Efficiency | Cost | Trust | Stars |
|---|---|---|---|---|---|---|---|---|
| 🥇 | OpenAI text-embedding-3Official | 90.0 | 90.0 | 92.0 | 88.0 | 70.0 | 95.0 | 52,000 |
| 🥈 | Cohere Embed v3Official | 88.0 | 88.0 | 88.0 | 86.0 | 65.0 | 90.0 | 8,000 |
| 🥉 | Voyage AI 3Official | 87.0 | 88.0 | 86.0 | 84.0 | 60.0 | 88.0 | 3,000 |
| #4 | Jina Embeddings v3 | 85.0 | 86.0 | 84.0 | 88.0 | 80.0 | 84.0 | 21,000 |
| #5 | E5-Mistral | 84.0 | 86.0 | 82.0 | 84.0 | 92.0 | 82.0 | 12,000 |
| #6 | Snowflake Arctic EmbedOfficial | 84.0 | 84.0 | 84.0 | 88.0 | 88.0 | 86.0 | 3,000 |
| #7 | BGE-Large | 83.0 | 84.0 | 82.0 | 86.0 | 95.0 | 80.0 | 15,000 |
| #8 | Mixedbread Embed | 83.0 | 84.0 | 82.0 | 86.0 | 90.0 | 80.0 | 2,000 |
| #9 | Nomic Embed | 82.0 | 82.0 | 80.0 | 90.0 | 95.0 | 78.0 | 5,000 |
| #10 | Google GeckoOfficial | 82.0 | 80.0 | 84.0 | 92.0 | 75.0 | 90.0 | 18,000 |
| #11 | Stella Embed | 82.0 | 84.0 | 80.0 | 86.0 | 95.0 | 78.0 | 1,500 |
| #12 | GTE-Qwen2 | 81.0 | 82.0 | 80.0 | 88.0 | 94.0 | 76.0 | 8,000 |
| #13 | MxBai Embed | 81.0 | 82.0 | 80.0 | 92.0 | 95.0 | 78.0 | 1,800 |
| #14 | Amazon Titan EmbedOfficial | 80.0 | 78.0 | 82.0 | 84.0 | 70.0 | 88.0 | 5,000 |
| #15 | Instructor XL | 80.0 | 82.0 | 78.0 | 84.0 | 95.0 | 76.0 | 4,000 |
Score Guide
9.0+ Exceptional
8.0+ Excellent
7.0+ Good
6.0+ Fair
<6.0 Below Average
Contribute Benchmark Data
Help improve these rankings by submitting real-world telemetry. Contributors earn routing credits for every data point.