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Blended $/1M across tracked versions of this line.
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 2 27B by Google is an open model built from the same research and technology used to create the Gemini models. Gemma models are well-suited for a variety of...
gemma-2-27b-it is a Text model from Google (US). HotON.ai tracks it at $0.65 per 1M input tokens and $0.65 per 1M output tokens, with a 8K-token context window. Its composite efficiency score is 88/100 at an estimated $0.002 per successful task.
gemma-2-27b-it is tracked at $0.65 per 1M input tokens and $0.65 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.65 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-2-27b-it supports up to a 8K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, gemma-2-27b-it is cheaper than 39% of models on input price and ranks #353 of 537 by overall efficiency.
Yes — minimax-m2 is a lower-cost option at $1.00 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-2-27b-it (Google): $0.65/1M input, $0.65/1M output, as of 2026-04-28. https://hoton.ai/en/models/google-gemma-2-27b-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.