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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
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
Gemma 3n E4B-it is optimized for efficient execution on mobile and low-resource devices, such as phones, laptops, and tablets. It supports multimodal inputs—including text, visual data, and audio—enabling diverse task...
gemma-3n-e4b-it is a Text model from Google (US). HotON.ai tracks it at $0.02 per 1M input tokens and $0.04 per 1M output tokens, with a 33K-token context window. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
gemma-3n-e4b-it is tracked at $0.02 per 1M input tokens and $0.04 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.03 per 1M tokens. Figures are illustrative demo data.
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
gemma-3n-e4b-it supports up to a 33K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, gemma-3n-e4b-it is cheaper than 97% of models on input price and ranks #227 of 535 by overall efficiency.
Yes — voyage-4-lite is a lower-cost option at $0.00 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
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HotON.ai — gemma-3n-e4b-it (Google): $0.02/1M input, $0.04/1M output, as of 2026-04-28. https://hoton.ai/en/models/google-gemma-3n-e4b-itPricing 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.