Gemma 4 Benchmark
Gemma 4 performance benchmarks across MMMU, LiveCodeBench, GPQA, and AIME — with direct comparisons to competing open and closed models.
What are Gemma 4 Benchmarks?
Benchmarks are standardized tests that measure model performance on reasoning, coding, math, science, and multimodal tasks. Gemma 4 results are drawn from official Google model cards and third-party evaluations.
Why look at Gemma 4 benchmarks?
Measure Real Performance
See how Gemma 4 scores on standardized tasks before choosing it for your project
Compare Across Models
Understand where Gemma 4 outperforms alternatives and where trade-offs exist
Match Tasks to Strengths
Identify which Gemma 4 variant excels at coding, reasoning, math, or multimodal tasks
Featured & Essential
Gemma 4 Benchmark
Explore the latest Gemma 4 benchmark results, architecture upgrades, and deployment strategies for Google's newest Apache 2.0 open-weights models.
Gemma 4 Coding Test
An in-depth Gemma 4 coding test covering web development, 3D game engines, and local performance. See how the 26B and 31B models stack up in real-world scenarios.
All Gemma 4 Benchmark Guides
Gemma 4 Local Test
Explore the comprehensive Gemma 4 local test results. We analyze vision, reasoning, and hardware performance for Google's latest open-weight LLM.
Gemma 4 Performance
Explore the breakthrough Gemma 4 performance metrics. Learn how Google's open-source AI models run locally on consumer hardware with Turbo Quant technology.