Capabilities
7-day heat trend
−6.6%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 35% of tracked models
- Faster than 32% of tracked models
- Efficiency rank: #4 of 1105
Best suited for
Mixed text, image, audio and document workloads that benefit from one model across modalities.
About gemini-2.0-flash-001
Gemini Flash 2.0 offers a significantly faster time to first token (TTFT) compared to Gemini Flash 1.5, while maintaining quality on par with larger models like Gemini Pro 1.5. It...
gemini-2.0-flash-001 is a Multimodal model from Google (US). HotON.ai tracks it at $0.10 per 1M input tokens and $0.40 per 1M output tokens, with a 1049K-token context window, ~139 tokens/sec throughput and 99.8% availability. Its composite efficiency score is 96/100 at an estimated $0.000 per successful task.
Compare gemini-2.0-flash-001
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Frequently asked questions
How much does gemini-2.0-flash-001 cost per 1M tokens?+
gemini-2.0-flash-001 is tracked at $0.10 per 1M input tokens and $0.40 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.33 per 1M tokens. Figures are illustrative demo data.
What is gemini-2.0-flash-001 best for?+
Mixed text, image, audio and document workloads that benefit from one model across modalities.
How fast is gemini-2.0-flash-001?+
gemini-2.0-flash-001 delivers about 139 tokens/sec with 99.8% tracked availability, suitable for latency-sensitive, real-time applications.
Is gemini-2.0-flash-001 cheaper than other AI models?+
Within the HotON.ai tracked set, gemini-2.0-flash-001 is cheaper than 35% of models on input price and ranks #4 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.