Calculate the cost of using gemini-omni-1.1-flash from Google Gemini for your AI applications
Pricing data last updated:
Mode: Chat
Max: 1,048,576 tokens
Max: 65,536 tokens
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gemini-omni-1.1-flash is a chat model from Google Gemini, one of 28 chat models they offer. It is priced at $1.50 per 1M input tokens and $9.00 per 1M output tokens, ranking 2731 out of 3781 chat models by cost and cheaper than 27% of models in this category. gemini-omni-1.1-flash supports vision, reasoning, audio input — one of only 3 chat models with this combination. Its 1,049K-token context window is in the top 14% among chat models.
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 1,048,576 input tokens. The maximum output length is 65,536 tokens.
At $1.50 per 1M input tokens and $9.00 per 1M output tokens, gemini-omni-1.1-flash ranks 2731 out of 3781 chat models by input cost. It is more expensive compared to the median of $0.60 for chat models, and is cheaper than 27% of models in this category.
gemini-omni-1.1-flash is one of 28 Google Gemini chat models, one of only 3 chat models combining audio input, reasoning, vision. its 1,049K-token context window places it in the top 14% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs gemini-omni-1.1-flash |
|---|---|---|---|---|
| databricks-gemini-2-5-pro | Databricks | $1.56 | $12.50 | +4% |
| gemini-2.5-pro | DeepInfra | $1.25 | $10.00 | -17% |
| gemini-2.5-pro | Vertex AI | $1.25 | $10.00 | -17% |
Similar chat models from other providers
Yes. gemini-omni-1.1-flash costs $1.50 per 1M input tokens compared to databricks-gemini-2-5-pro's $1.56 per 1M input tokens, making it 4% more affordable. Both are chat models and share support for vision, function calling, reasoning, audio input, prompt caching.
gemini-omni-1.1-flash input pricing is $1.50 per 1M tokens, which is 150% above the median of $0.60 for chat models. It ranks 2731 out of 3781 chat models by input cost, making it cheaper than 27% of models in this category. For output, it costs $9.00 per 1M tokens compared to the median of $1.75.
Among Google Gemini's 28 chat models, gemini-omni-1.1-flash ranks 21 by input cost. Its combination of audio input, reasoning, vision is shared by only 2 other chat models.
The most comparable chat models to gemini-omni-1.1-flash are: databricks-gemini-2-5-pro from Databricks ($1.56/1M input tokens); gemini-2.5-pro from DeepInfra ($1.25/1M input tokens); gemini-2.5-pro from Vertex AI ($1.25/1M input tokens); gemini-3.5-flash from Vertex AI ($1.50/1M 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.
gemini-omni-1.1-flash supports up to 1,048,576 input tokens, placing it in the top 14% of chat models by context window size (rank 285 of 3502). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
gemini-omni-1.1-flash 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. For reference, processing 1M input tokens costs $1.50 and generating 1M output tokens costs $9.00.