Google: Gemma 3 27B
Analysis Summary
Gemma 3 27B is Google's multimodal model for text and image workflows. It supports tool use and function calling, offers a 262K context window, and costs $0.08 per million input tokens and $0.45 per million output tokens. The supplied reasoning and coding measurements are limited, so its strengths are better understood as practical flexibility and low operating cost than advanced problem solving.
It suits SEO briefs, metadata, content transformation, image-aware product work, and structured extraction from long documents. The large context is useful for campaign material and reference libraries, but the low agentic measurement argues against unsupervised complex automation. Final client-facing copy should receive editorial review.
Adopt it as a volume-oriented value model where schemas, examples, and validation are available. Use a stronger system for strategic writing, difficult coding, and high-risk decisions.
Assessed August 9, 2026
Editorial notes
Gemma 3 27B combines low pricing with vision, a 262K context window, tool use, and function calling. Its limited reasoning and coding measurements make it a value-tier option for structured, reviewed production tasks.
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DFO Verdict
Gemma 3 27B combines low pricing with vision, a 262K context window, tool use, and function calling. Its limited reasoning and coding measurements make it a value-tier option for structured, reviewed production tasks.
How Google: Gemma 3 27B compares
Google: Gemma 3 27B ranks #327 of 432 AI models we track for overall intelligence, #179 of 205 for coding, #185 of 187 for agentic tasks. Its 131K-token context window is larger than 49% of the models we list. At $0.08 per million input tokens it is cheaper than 71% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.08 | $0.000080 |
| Output | $0.45 | $0.000450 |
What would Google: Gemma 3 27B cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Google: Gemma 3 27B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Google: Gemma 3 27B
Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,..
Frequently asked questions about Google: Gemma 3 27B
How much does Google: Gemma 3 27B cost?
Google: Gemma 3 27B costs $0.08 per million input tokens and $0.45 per million output tokens.
What is the context window of Google: Gemma 3 27B?
Google: Gemma 3 27B has a context window of 131,072 tokens (131K).
Is Google: Gemma 3 27B good for coding?
On our coding benchmark index, Google: Gemma 3 27B ranks #179 of 205 models, placing it in the broader range of the field for code generation and debugging.
What can Google: Gemma 3 27B do?
Google: Gemma 3 27B supports image/vision input, tool use, and function calling.
Who created Google: Gemma 3 27B?
Google: Gemma 3 27B is developed by Google and was released on March 12, 2025.