Google
99.97%Context0
Max output0
p50 latency—
Throughput—
Input price$0.2
Output price$0
No training
Model directory
Baseer model profileEmbedding model
google/gemini-embedding-2
Gemini Embedding 2
Google’s first fully multimodal Embedding model that is capable of mapping text, image, video, audio, and PDFs and their interleaved combinations thereof into a single, unified vector space. Built on the Gemini architecture, it supports 100+ languages.
Input / 1M tokens$0.2
Output / 1M tokens$0
Maximum context0
Inference providers1
Price comparison
USD per one million tokens, using current provider data.
Provider uptime
Reported availability over the last 24 hours; not a contractual SLA.
Inference providers
Compare current pricing, performance, and privacy across every available provider.
| Provider | Maximum context | Max output | p50 latency | p50 throughput | 24h uptime | Input / 1M tokens | Output / 1M tokens | Privacy |
|---|---|---|---|---|---|---|---|---|
Google | 0 | 0 | — | — | 99.970% | $0.2 | $0 |
What can this model do?
Available modalities and capabilities across inference providers.
Text
Technical profile
- Model type
- Embedding model
- Release date
- Mar 10, 2026
- Knowledge cutoff
- 2025-11
- Regions
- —
- API specifications
- V2, V3, V4
- Temperature control
- —
Model identifier
google/gemini-embedding-2Model profile updated: Sep 12, 2026, 1:46 PM
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