Analysis Summary
Gemma 3 27B is Google's larger Gemma 3 model, combining text and image input with a 131K context window. Tool use and function calling provide an API-friendly basis for simple workflows, while the low input price of $0.08 per million tokens supports economical experimentation and volume processing.
Its measured reasoning and coding results place it below models suited to complex software engineering or autonomous agents. The model is more appropriate for image-aware classification, document extraction, basic content transformation, and routine assistant tasks with human review. It can be considered for high-volume workloads where cost and vision matter more than deep reasoning. Use a stronger model for difficult analysis, coding, and customer-facing work requiring consistent instruction precision.
Assessed September 7, 2026
Editorial notes
Gemma 3 27B offers vision, a 131K context window, and tool and function calling at low input cost. Its measured reasoning and coding capability is limited, making it better for lightweight multimodal automation than demanding client work.
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DFO Verdict
Gemma 3 27B offers vision, a 131K context window, and tool and function calling at low input cost. Its measured reasoning and coding capability is limited, making it better for lightweight multimodal automation than demanding client work.
How Google: Gemma 3 27B compares
Google: Gemma 3 27B ranks #341 of 435 AI models we track for overall intelligence, #182 of 208 for coding, #189 of 190 for agentic tasks. Its 131K-token context window is larger than 48% 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 intelligence 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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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,..
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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 #182 of 208 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.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 7, 2026 8:38 pm