Google: Gemma 3 27B
Analysis Summary
Google Gemma 3 27B is a text-and-image model with a 128K context window. The supplied record lists tool use and function calling, along with low input and output prices. Its benchmark profile is restrained across intelligence, coding, and agentic performance, so the useful proposition here is economical multimodal access rather than advanced reasoning or software engineering.
It may suit lightweight content assistance, image-informed classification, and bounded document tasks where teams can define a clear output format and review results. The context window provides room for longer prompts, but there is no supplied long-context result to confirm reliability across extensive materials. The limited agentic result also makes it a poor choice for complex, multi-step automation without close supervision.
For routine traffic, its price and image support justify a controlled pilot. Keep it away from high-stakes analysis and coding workflows unless internal testing establishes the reliability those jobs require.
Assessed September 23, 2026
Editorial notes
Gemma 3 27B provides image understanding, a 128K context window, and listed tool and function calling at low prices; its measured reasoning, coding, and agentic results are limited for complex workflows.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Gemma 3 27B provides image understanding, a 128K context window, and listed tool and function calling at low prices; its measured reasoning, coding, and agentic results are limited for complex workflows.
Benchmarks
Artificial Analysis data refreshed Oct 18, 2026. Arena ratings from the Oct 13, 2026 text leaderboard, with style control.
How Google: Gemma 3 27B compares
Google: Gemma 3 27B ranks #416 of 439 AI models we track for overall intelligence, #170 of 198 for coding, #180 of 181 for agentic tasks. Its 131K-token context window is larger than 50% of the models we list. At $0.08 per million input tokens it is cheaper than 67% 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.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.08 | $0.000080 |
| Output | $0.35 | $0.000350 |
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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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 $0.35 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 #170 of 198 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.