Calculate the cost of using gemini-2.5-flash-native-audio-latest from Google Gemini for your AI applications
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gemini-2.5-flash-native-audio-latest is a realtime model from Google Gemini, one of 6 realtime models they offer. It is priced at $0.50 per 1M input tokens and $2.00 per 1M output tokens, ranking 6 out of 40 realtime models by cost and cheaper than 80% of models in this category. gemini-2.5-flash-native-audio-latest supports audio input, audio output — one of only 7 realtime models with this combination. Its 1,049K-token context window is in the top 16% among realtime 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 8,192 tokens.
At $0.50 per 1M input tokens and $2.00 per 1M output tokens, gemini-2.5-flash-native-audio-latest ranks 6 out of 40 realtime models by input cost. It is more affordable compared to the median of $0.71 for realtime models, and is cheaper than 80% of models in this category.
gemini-2.5-flash-native-audio-latest is one of 6 Google Gemini realtime models, one of only 7 realtime models combining audio input, audio output. its 1,049K-token context window places it in the top 16% of realtime models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs gemini-2.5-flash-native-audio-latest |
|---|---|---|---|---|
| gpt-4o-mini-realtime-preview-2024-12-17 | Azure | $0.60 | $2.40 | +20% |
| gpt-realtime-2.1-mini | Azure | $0.60 | $2.40 | +20% |
| gpt-realtime-mini | Azure | $0.60 | $2.40 | +20% |
Similar realtime models from other providers
Yes. gemini-2.5-flash-native-audio-latest costs $0.50 per 1M input tokens compared to gpt-4o-mini-realtime-preview-2024-12-17's $0.60 per 1M input tokens, making it 20% more affordable. Both are realtime models and share support for function calling, audio input, audio output.
gemini-2.5-flash-native-audio-latest input pricing is $0.50 per 1M tokens, which is 29% below the median of $0.71 for realtime models. It ranks 6 out of 40 realtime models by input cost, making it cheaper than 80% of models in this category. For output, it costs $2.00 per 1M tokens compared to the median of $3.63.
Among Google Gemini's 6 realtime models, gemini-2.5-flash-native-audio-latest ranks 2 by input cost. Its combination of audio input, audio output is shared by only 6 other realtime models.
The most comparable realtime models to gemini-2.5-flash-native-audio-latest are: gpt-4o-mini-realtime-preview-2024-12-17 from Azure ($0.60/1M input tokens); gpt-realtime-2.1-mini from Azure ($0.60/1M input tokens); gpt-realtime-mini from Azure ($0.60/1M input tokens); gpt-realtime-mini-2025-10-06 from Azure ($0.60/1M 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-2.5-flash-native-audio-latest supports up to 1,048,576 input tokens, placing it in the top 16% of realtime models by context window size (rank 4 of 38). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
gemini-2.5-flash-native-audio-latest 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 $0.50 and generating 1M output tokens costs $2.00.