EmbeddingGemma 300M
A best-in-class text embedding model optimized for on-device use cases.
Open multilingual text-embedding model that produces vector representations for retrieval, semantic similarity, classification, and clustering; optimized for on-device use.
Pricing
Model profile · Current snapshot
Output TPS
356
TTFT (s)
0.84
Model Intelligence
Context window
2,048 tokens
Arena ranking
1
Benchmarkable
Yes
Model level
release
Intelligence Index
1
GPQA
0.29
HLE
0.05
SciCode
0.03
IFBench
0.33
LCR
0
TerminalBench Hard
0
TAU2
0.08
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