Google

GGemma 3 27BOPEN

Gemma 3 27B (Google): live API pricing, context window and the best open-source alternatives, tracked daily by OpenSourceAI.tech.

Context window
262K
tokens
Input price
$0.08
per M tokens
Output price
$0.45
per M tokens
Provider
Google

Prices update automatically — checked hourly against provider list prices.

See model comparisons → Compare all model prices

Benchmarks & performance

Independent benchmark scores for Gemma 3 27B, measured by Artificial Analysis. Higher is better.

Intelligence index7.4
Coding index10.1
Math index20.7
GPQA42.8%
MMLU-Pro66.9%
Humanity's Last Exam4.7%
Long Context Reasoning5.7%
LiveCodeBench13.7%
SciCode21.2%
MATH-50088.3%
AIME25.3%
AIME 202520.7%
IFBench31.8%
τ²-Bench10.5%
τ-Bench Banking0.8%
Terminal-Bench4.5%
Terminal-Bench Hard3.8%
Benchmark data by Artificial Analysis

About this model

Gemma 3 27B is an open-weight AI model by Google. You can download and self-host it for free; the prices below are hosted-API list prices, tracked hourly, for when you prefer convenience over self-hosting.

Frequently asked questions

What is Gemma 3 27B?

Gemma 3 27B is an AI language model from Google. It is open-weight: you can download it and run it on your own hardware, for free. It scores 7.4 on the Artificial Analysis intelligence index.

Is Gemma 3 27B free?

The weights are free and open — you can self-host Gemma 3 27B and pay nothing per token. If you prefer a hosted API, list prices are $0.08 per million input tokens and $0.45 per million output tokens.

What is Gemma 3 27B good at?

Independent benchmarks from Artificial Analysis give it GPQA 42.8%, MMLU-Pro 66.9%, Humanity's Last Exam 4.7%, Long Context Reasoning 5.7%, LiveCodeBench 13.7%, SciCode 21.2%, MATH-500 88.3%, AIME 25.3%, AIME 2025 20.7%, IFBench 31.8%, τ²-Bench 10.5%, τ-Bench Banking 0.8%, Terminal-Bench 4.5%, Terminal-Bench Hard 3.8%. It is particularly used for code generation.

Can I self-host Gemma 3 27B?

Yes. Gemma 3 27B has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.

Open-source alternatives

Depending on your workload, an open-weight model that you can self-host may cut costs dramatically or remove per-token pricing entirely. Our comparison pages put this model side by side with the strongest open-source contenders.

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