Side by side
See the difference.
Scores, capabilities and costs for the models you’re considering.
Scroll to compare models →
| 3 models | openaiOpenAI: Text Embedding 3 Large (batch)Remove × | BAAIbge-m3-multi-8kRemove × | QwenQwen3-Embedding-8BRemove × |
|---|---|---|---|
| What’s different | text-embedding-3-large is OpenAI's most capable embedding model for both english and non-english tasks. Embeddings are a numerical representation of text that can be used to measure the relatedness between… | BGE-M3 is a multilingual text embedding model developed by BAAI, distinguished by its Multi-Linguality (supporting 100+ languages), Multi-Functionality (unified dense, multi-vector, and sparse retrieval),… | The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon the dense foundational models of the Qwen3… |
| Date | Oct 30, 2025Listed | Sep 3, 2026Listed | Jun 10, 2025Listed |
API prices USD · provider configuration shown below | |||
| Listed rate | $0.065 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | See provider quotes | $0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ |
| Provider endpoints | 1 endpoint → | 0 endpoints → | 1 endpoint → |
Benchmarks Each result retains its evaluation configuration | |||
| FreshStack · MTEB 1.38.43 ↗MTEB 1.38.43; test/default; dataset 7a20df1a | Not reported | Not reported | 0.43017 ↗Revision 4e423935; test/defaultContributor reported |
Specifications | |||
| Context window | 8.2K | 8.2K | 41K |
| Max output | 7.4K | — | 32K |
| Parameters | — | — | 8B |
| Open weights | Not reported | Not reported | Supported |