Are there any emerging open source embedding models that match OpenAI text-embedding-3-large performance while significantly lowering token usage and compute overhead?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Are there any emerging open source embedding models that match OpenAI text-embedding-3-large performance while significantly lowering token usage and compute overhead?
3 real searches · 1 real-search pass
2025 2026 open source embedding models benchmark MTEB text-embedding-3-large token efficiency Matryoshka retrieval modelsGoogle ↗
OBSERVED
Qwen3-Embedding models benchmark dimensions 0.6B 4B 8B MTEB 2025Google ↗
OBSERVED
Jina embeddings v3 v4 token efficiency long context model benchmark 2025Google ↗
OBSERVED
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 3 queries…
Searches and sources
ChatGPT3 real searches · gpt-6
2025 2026 open source embedding models benchmark MTEB text-embedding-3-large token efficiency Matryoshka retrieval models Google ↗
Qwen3-Embedding models benchmark dimensions 0.6B 4B 8B MTEB 2025 Google ↗
Jina embeddings v3 v4 token efficiency long context model benchmark 2025 Google ↗
- microsoft/harrier-oss-v1-270m · huggingface.co
- Microsoft Open-Sources Industry-Leading Embedding Model · blogs.bing.com
- Model weights and documentation · huggingface.co
- jina-embeddings-v5-text: Compact multilingual embedding models · elastic.co
- Text Model · docs.mteb.org
- Embedding API · jina.ai
- Jina model repository · huggingface.co
- GitHub · github.com
- Qwen/Qwen3-Embedding-8B · huggingface.co
- Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models · qwenlm.github.io
- Model weights and documentation · huggingface.co
- Snowflake model repository · huggingface.co
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
2025 2026 open source embedding models benchmark MTEB text-embedding-3-large token efficiency Matryoshka retrieval models OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Qwen3-Embedding models benchmark dimensions 0.6B 4B 8B MTEB 2025 OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Jina embeddings v3 v4 token efficiency long context model benchmark 2025 OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |