Gemma 3 27B
According to BenchLM.ai, Gemma 3 27B ranks #113 out of 119 models on the provisional leaderboard with an overall score of 17/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.
Gemma 3 27B is a open weight model with a 32K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
This profile currently has 17 of 225 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Mathematics (#77), while its weakest is Multimodal & Grounded (#97). This performance profile makes it particularly strong for mathematical reasoning, scientific computing, and quantitative analysis.
Ranking Distribution
Category rank across 7 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
#93Coding
#92Reasoning
#82Knowledge
#93Math
#77Multilingual
#84Multimodal
#97Inst. Following
#118Chatbot Arena Performance
Benchmark Details
Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.
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Frequently Asked Questions
How does Gemma 3 27B perform overall in AI benchmarks?
Gemma 3 27B currently ranks #113 out of 119 models on BenchLM's provisional leaderboard with an overall score of 17 (estimated). It is created by Google and features a 32K context window.
Is Gemma 3 27B good for knowledge and understanding?
Gemma 3 27B ranks #93 out of 119 models in knowledge and understanding benchmarks with an average score of 16.7. There are stronger options in this category.
Is Gemma 3 27B good for coding and programming?
Gemma 3 27B ranks #92 out of 119 models in coding and programming benchmarks with an average score of 6. There are stronger options in this category.
Is Gemma 3 27B good for reasoning and logic?
Gemma 3 27B ranks #82 out of 119 models in reasoning and logic benchmarks with an average score of 20. There are stronger options in this category.
Is Gemma 3 27B good for agentic tool use and computer tasks?
Gemma 3 27B ranks #93 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 12.9. There are stronger options in this category.
Is Gemma 3 27B good for multimodal and grounded tasks?
Gemma 3 27B ranks #97 out of 119 models in multimodal and grounded tasks benchmarks with an average score of 6.8. There are stronger options in this category.
Is Gemma 3 27B good for instruction following?
Gemma 3 27B ranks #118 out of 119 models in instruction following benchmarks with an average score of 0. There are stronger options in this category.
Is Gemma 3 27B open source?
Yes, Gemma 3 27B is an open weight model created by Google, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Does Gemma 3 27B have full benchmark coverage on BenchLM?
Not yet. Gemma 3 27B currently has 17 published benchmark scores out of the 225 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of Gemma 3 27B?
Gemma 3 27B has a context window of 32K, which determines how much text it can process in a single interaction.
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