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Gemma 3 27B

GoogleEstablishedReleased Mar 12, 2025
Overall Score
Coming soon
Arena Elo
1365
Categories Ranked
8of 8
Price (1M tokens)
$0 in / $0 out
Speed
31tok/s
Context
32K
Open WeightNon-Reasoning
Confidence
base

BenchLM is tracking Gemma 3 27B, but sourced benchmark results are not published on the site yet. This page currently shows the model metadata we can verify now, and score-level benchmark coverage will appear once public evaluations land.

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 0 sourced benchmarks on BenchLM, so the benchmark sections below are intentionally marked as coming soon.

Its strongest category is Mathematics (#76), while its weakest is Multimodal & Grounded (#100). 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

#90
14.5/ 100
Weight: 22%0 benchmarks
Terminal-Bench 2.0BrowseCompOSWorld-VerifiedGAIATAU-benchWebArena

Coding

#83
6.9/ 100
Weight: 20%0 benchmarks
SWE-bench VerifiedLiveCodeBenchSWE-bench ProSWE-RebenchSciCode

Reasoning

#82
21.3/ 100
Weight: 17%0 benchmarks
MuSRLongBench v2MRCRv2ARC-AGI-2

Knowledge

#88
17.1/ 100
Weight: 12%0 benchmarks
GPQASuperGPQAMMLU-ProHLEFrontierScienceSimpleQA

Math

#76
13.4/ 100
Weight: 5%0 benchmarks
AIME 2025BRUMO 2025MATH-500FrontierMath

Multilingual

#82
11.1/ 100
Weight: 7%0 benchmarks
MGSMMMLU-ProX

Multimodal

#100
7.0/ 100
Weight: 12%0 benchmarks
MMMU-ProOfficeQA Pro

Inst. Following

#111
0.0/ 100
Weight: 5%0 benchmarks
IFEvalIFBench

Chatbot Arena Performance

Text Overall1365

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.

Frequently Asked Questions

How does Gemma 3 27B perform overall in AI benchmarks?

BenchLM is tracking Gemma 3 27B, but sourced benchmark coverage is still coming soon. We currently list its creator, model type, and context window while we wait for public benchmark results.

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 0 published benchmark scores out of the 152 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.

Last updated: April 20, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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