Capabilities
7-day heat trend
−29.9%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 43% of tracked models
- Faster than 73% of tracked models
- Efficiency rank: #886 of 1105
Best suited for
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
About gemini-2.5-flash-native-audio-preview-12-2025
Google Live API native audio model optimized for higher-quality low-latency audio output.
gemini-2.5-flash-native-audio-preview-12-2025 is a Text model from Google (US). HotON.ai tracks it at $0.00 per 1M input tokens and $0.00 per 1M output tokens, with a 1K-token context window, ~160 tokens/sec throughput and 96.6% availability. Its composite efficiency score is 88/100 at an estimated $0.000 per successful task.
Compare gemini-2.5-flash-native-audio-preview-12-2025
Related market news
Frequently asked questions
How much does gemini-2.5-flash-native-audio-preview-12-2025 cost per 1M tokens?+
gemini-2.5-flash-native-audio-preview-12-2025 is tracked at $0.00 per 1M input tokens and $0.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.00 per 1M tokens. Figures are illustrative demo data.
What is gemini-2.5-flash-native-audio-preview-12-2025 best for?+
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
How fast is gemini-2.5-flash-native-audio-preview-12-2025?+
gemini-2.5-flash-native-audio-preview-12-2025 delivers about 160 tokens/sec with 96.6% tracked availability, suitable for latency-sensitive, real-time applications.
Is gemini-2.5-flash-native-audio-preview-12-2025 cheaper than other AI models?+
Within the HotON.ai tracked set, gemini-2.5-flash-native-audio-preview-12-2025 is cheaper than 43% of models on input price and ranks #886 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.