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Gemma 3 27B
About Gemma 3 27B
Gemma 3 27B is an AI model developed by Google DeepMind, in the language category, released in 2025, made available as an open-weights model with 27B params.
On this page you'll find Gemma 3 27B's full specifications, including 7 benchmark results. Review provider pricing and benchmark scores below, or compare Gemma 3 27B head-to-head with other language models.
Links
Run Gemma 3 27B locally — what to buy
Share this build ↗Sized to what Gemma 3 27B actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.
Software support
✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.
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Gemma 3 27B benchmark scores▶
| Benchmark | Category | Score | Variant |
|---|---|---|---|
| LiveCodeBench v5 | code | 27.5% | |
| LiveCodeBench v6 | code | 29.7% | |
| IFEval | general | 82.6% | |
| MMLU-Pro | general | 67.5% | |
| MMLU-Redux | general | 85% | |
| AIME 2025 | math | 23.8% | |
| GPQA Diamond | reasoning | 42.4% |
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Frequently asked questions
What is Gemma 3 27B? ▶
Gemma 3 27B is an AI model developed by Google DeepMind, in the language category, released in 2025. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created Gemma 3 27B? ▶
Gemma 3 27B was developed by Google DeepMind and released in 2025.
Is Gemma 3 27B open source or proprietary? ▶
Gemma 3 27B ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.
How much does Gemma 3 27B cost? ▶
Pricing for Gemma 3 27B depends on the provider. See the providers table on this page for the latest API rates.
How does Gemma 3 27B perform on benchmarks? ▶
Gemma 3 27B is benchmarked across 7 evaluations on GenAIList, including LiveCodeBench v5 (27.5%). See the full benchmark table below and compare it with other models.
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