google / Embedding
Gemini Embedding 2
google/gemini-embedding-2Latest Gemini embeddings
Best for: Semantic search, RAG and clustering
Catalog status
Enabled
Research checked
2026-10-06
Benchmark results
Results are source-attributed, not TokenRex measurements. Different tests and thinking variants are not interchangeable.
3 of 3 results
MTEB (Multilingual), Text-Text
Retrieval · Vendor-reported
Test conditions and source
Text-to-text evaluation only (model is natively multimodal but this metric isolates text-text performance). Published source text: Official Google performance table: Gemini Embedding 2 scores 69.9 Mean(Task) on MTEB (Multilingual), Text-Text, vs 68.4 for legacy gemini-embedding-001.
Tested model: google/gemini-embedding-2
Google DeepMind — Gemini Embedding 2 model card · Checked 2026-10-06
MTEB (Code)
Retrieval · Vendor-reported
Test conditions and source
MTEB Code benchmark mean task score. Published source text: Official Google performance table: Gemini Embedding 2 scores 84.0 Mean(Task) on MTEB (Code) vs 76.0 for legacy gemini-embedding-001.
Tested model: google/gemini-embedding-2
Google DeepMind — Gemini Embedding 2 model card · Checked 2026-10-06
Image-Text (TextCaps)
Retrieval · Vendor-reported
Test conditions and source
Cross-modal image-to-text retrieval, TextCaps recall@1. Published source text: Official Google performance table: Gemini Embedding 2 Image→Text TextCaps recall@1 = 97.4 (vs 88.1 for legacy multimodalembedding@001, 88.9 Amazon Nova 2, 88.6 Voyage Multimodal 3.5).
Tested model: google/gemini-embedding-2
Google DeepMind — Gemini Embedding 2 model card · Checked 2026-10-06
Model specifications
Input and output modalities
Provider-reported formats; API compatibility is detailed below.
Input
Output
- Exact model ID
- google/gemini-embedding-2
- Model type
- Embedding
Exact token limits are not published in the reviewed sources, so no estimated limits are shown.
Versions and thinking levels
One enabled version is currently listed for this model.
Features and tool support
TokenRex’s exposed interface, not every feature advertised by the provider. “Available” describes the implemented interface, not a successful test of every input or tool.
Input through TokenRex
AvailableText or a list of texts on POST /v1/embeddings.
Output through TokenRex
AvailableA number vector for each input, ready for search and matching.
Function tools
Not exposedEmbedding endpoint only — it returns vectors and does not run tools.
Sources and verification
Provider specifications describe the upstream model, not a guarantee of every feature through TokenRex. Prices come from the enabled catalog; benchmark results belong to the exact tested model.
- Vendor model documentation
Vendor-reported
Last checked - Google DeepMind — Gemini Embedding 2 model card
Vendor-reported
Last checked
Research notes (1)
- Vendor multimodal embeddings do not guarantee the same input surface through TokenRex.