Latest version
Pricing
| Pricing | Input Image | Input Video | Input Document | Input Audio |
|---|---|---|---|---|
Pricing | Input Image | Input Video | Input Document | Input Audio |
$0.2$0 | $0.45/M tokens | $12/M tokens | $0.45/M tokens | $6.5/M tokens |
Input Modalities
- Text
Frequently asked questions
What is Gemini Embedding 2 Preview?
Latest version
How much does Gemini Embedding 2 Preview cost?
What modalities does Gemini Embedding 2 Preview support?
How do I call Gemini Embedding 2 Preview via API?
Who created Gemini Embedding 2 Preview?
More models from Google
See all Google models → Input:$ 2 /M
Output:$ 12 /M
Context:-
TTFT:-
Throughput:-
- Input: $ 2 /M
- Output: $ 12 /M
- Web Search: $0.014/request
- Cache Storage: $1/h/M tokens
- Input Audio: $1/M tokens
- Input Video: $1/M tokens
Input:$ 0 /M
Output:$ 0 /M
Context:1M
TTFT:-
Throughput:-
Input:$ 2 /M
Output:$ 12 /M
Context:-
TTFT:-
Throughput:-
Input:$ 2 /M
Output:$ 12 /M
Context:-
TTFT:-
Throughput:-
0.04$/image ;2.49m/tokens
Aihubmix supports the gemini-2.5-flash-image model (known on social media as nano-banana); you can add the extra parameter modalities=["text", "image"] via the OpenAI-compatible chat interface. This model allows adjustment of the generated image’s aspect ratio through parameters, but requires using the native Gemini SDK.
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