Get an email when this model's blended price drops. No account needed.
One email per drop. Unsubscribe anytime.
Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-04-28 · Source: legacy_model_catalog
Mixed text, image, audio and document workloads that benefit from one model across modalities.
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. Its composite efficiency score is 96/100 at an estimated $0.000 per successful task.
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.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
gemini-2.0-flash-001 supports up to a 1049K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, gemini-2.0-flash-001 is cheaper than 79% of models on input price and ranks #4 of 535 by overall efficiency.
Yes — qwen3.5-flash-02-23 is a lower-cost option at $0.26 per 1M output tokens, while still covering similar Multimodal use cases. Compare them side by side on HotON.ai.
Ready to paste into articles, papers or AI prompts — prices and date refresh with the live data.
HotON.ai — gemini-2.0-flash-001 (Google): $0.10/1M input, $0.40/1M output, as of 2026-04-28. https://hoton.ai/en/models/google-gemini-2-0-flash-001Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.