Calculate the cost of using gemini-embedding-2:batch from OpenRouter for your AI applications
Pricing data last updated:
Mode: Embedding
Max: 8,192 tokens
Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.
gemini-embedding-2:batch is an embedding model from OpenRouter, one of 25 embedding models they offer. It is priced at $0.10 per 1M input tokens, ranking 94 out of 150 embedding models by cost and cheaper than 36% of models in this category. gemini-embedding-2:batch supports vision, audio input, structured output — one of only 4 embedding models with this combination. It accepts up to 8K input tokens.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 8,192 input tokens. The maximum output length is 7,372 tokens.
At $0.10 per 1M input tokens, gemini-embedding-2:batch ranks 94 out of 150 embedding models by input cost. It is competitively priced compared to the median of $0.10 for embedding models, and is cheaper than 36% of models in this category.
gemini-embedding-2:batch is one of 25 OpenRouter embedding models, one of only 4 embedding models combining audio input, structured output, vision.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs gemini-embedding-2:batch |
|---|---|---|---|---|
| cohere.embed-multilingual-image-v3.0 | Oci | $0.10 | - | 0% |
| amazon.titan-embed-text-v1 | AWS Bedrock | $0.10 | $0.0000 | 0% |
| amazon.titan-embed-g1-text-02 | AWS Bedrock | $0.10 | $0.0000 | 0% |
Similar embedding models from other providers
No. gemini-embedding-2:batch costs $0.10 per 1M input tokens while cohere.embed-multilingual-image-v3.0 costs $0.10 per 1M input tokens, making cohere.embed-multilingual-image-v3.0 0% more affordable for input. However, gemini-embedding-2:batch may offer different capabilities or performance characteristics that justify the price difference.
gemini-embedding-2:batch input pricing is $0.10 per 1M tokens, which is 0% at the median of $0.10 for embedding models. It ranks 94 out of 150 embedding models by input cost, making it cheaper than 36% of models in this category.
Among OpenRouter's 25 embedding models, gemini-embedding-2:batch ranks 15 by input cost. It is the most affordable OpenRouter model with audio input support. Its combination of audio input, structured output, vision is shared by only 3 other embedding models.
The most comparable embedding models to gemini-embedding-2:batch are: cohere.embed-multilingual-image-v3.0 from Oci ($0.10/1M input tokens); amazon.titan-embed-text-v1 from AWS Bedrock ($0.10/1M input tokens); amazon.titan-embed-g1-text-02 from AWS Bedrock ($0.10/1M input tokens); ada from Azure ($0.10/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.
Yes. At $0.10 per 1M input tokens, gemini-embedding-2:batch is the most affordable embedding model that supports audio input. This makes it a strong option for audio input-dependent workloads where cost efficiency matters.
You can monitor OpenRouter service health in real time on the Bifrost OpenRouter Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
gemini-embedding-2:batch is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown.