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Google: Gemma 2 27B API Pricing

Google: Gemma 2 27B costs $0.650 per 1M input tokens and $0.650 per 1M output tokens. Context window: 8K. Prices verified 2026-10-21 · source

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Alternatives to consider

🏠 Same provider
Google: Gemma 3 4B
$0.040 in / $0.050 out
Quality score: 4.8

Cheapest google model — 93% less per month

Price history
2026-08-23 → 2026-10-21 · 59 daily snapshots
inputoutput

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Community adoption
20K
HF downloads
577
Likes

High adoption means battle-tested weights, more fine-tunes/quants, and faster bug fixes. View on HuggingFace →

Pricing behavior
Stable — no price moves across our 59 daily snapshots (2026-08-23 → 2026-10-21).

From our own daily snapshot archive — independent of provider announcements.

Input / 1M tokens
$0.650
Output / 1M tokens
$0.650
Context window
8K
Max output
2K
Knowledge cutoff
2024-06-30

Training data ends here — newer events require retrieval or web search.

What would Google: Gemma 2 27B cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$7.80
Coding agent5,0008,000 / 2,000$32.50
RAG pipeline30,0004,000 / 500$87.75
Doc summarizer2,00020,000 / 1,000$27.30

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About Google: Gemma 2 27B

Gemma 2 27B by Google is an open model built from the same research and technology used to create the [Gemini models](/models?q=gemini). Gemma models are well-suited for a variety of...

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Frequently asked questions

How much does Google: Gemma 2 27B cost?

Google: Gemma 2 27B costs $0.650 per 1M input tokens and $0.650 per 1M output tokens. Verified 2026-10-21 — provider source.

What is the context window?

8K tokens, with up to 2K output tokens per response. That's roughly 10 pages of text in a single request.

Does it support prompt caching?

Prompt-caching pricing is not published for this model via OpenRouter.

What's a cheaper alternative?

ScaleDown: Summarize saves about 96% on a typical workload with comparable quality.

Official resources