Capabilities
7-day heat trend
−13.0%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 76% of tracked models
- Efficiency rank: #9 of 1105
Best suited for
Mixed text, image, audio and document workloads that benefit from one model across modalities.
About google/gemini-2.5-flash
AI/ML API route for Gemini 2.5 Flash with multimodal reference metadata.
google/gemini-2.5-flash is a Multimodal model from AI/ML API (US). HotON.ai tracks it at $0.00 per 1M input tokens and $0.00 per 1M output tokens, with a 1049K-token context window, ~162 tokens/sec throughput and 97.7% availability. Its composite efficiency score is 96/100 at an estimated $0.000 per successful task.
Compare google/gemini-2.5-flash
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Frequently asked questions
How much does google/gemini-2.5-flash cost per 1M tokens?+
google/gemini-2.5-flash 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 google/gemini-2.5-flash best for?+
Mixed text, image, audio and document workloads that benefit from one model across modalities.
How fast is google/gemini-2.5-flash?+
google/gemini-2.5-flash delivers about 162 tokens/sec with 97.7% tracked availability, suitable for latency-sensitive, real-time applications.
Is google/gemini-2.5-flash cheaper than other AI models?+
Within the HotON.ai tracked set, google/gemini-2.5-flash is cheaper than 43% of models on input price and ranks #9 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.