Gemma 3 27B Specs, Benchmarks & Downloads
Gemma 3 27B
Google flagship multimodal model
Status
active
Parameters
27.00
Context Window
128000
Modality
Vision
Release Date
Mar 12, 2025
About
Explore Gemma 3 27B, a vision AI model developed by Google. View specifications, context window, architecture, license, supported platforms, features, benchmarks, official downloads, and related articles.
Gemma 3 27B delivers advanced open-weight multimodal performance.
Family
GemmaDeveloper
GoogleArchitecture
Vision Language ModelLicense
Gemma LicenseHardware Requirements
Minimum:
Use Case: Multimodal inference
GPU Minimum: RTX 4090
GPU VRAM: 24GB
System RAM: 64GB
Storage: 100GB
Operating System: Linux
27B multimodal model
Recommended:
Use Case: Server inference
GPU Minimum: 2x RTX 4090
GPU VRAM: 48GB
System RAM: 128GB
Storage: 180GB
Operating System: Linux
Recommended deployment
High Performance:
Use Case: Production serving
GPU Minimum: 4x A100
GPU VRAM: 320GB
System RAM: 256GB
Storage: 300GB
Operating System: Linux
Enterprise multimodal
Model Deployment Readiness
Model Ecosystem Support
18%
Platforms
33%
Features
1%
Downloads
20%
Platform Compatibility
33%
Supported across 4 of 12 platforms
Context Window
Industry-standard context window comparison
128,000
tokens
125K
4K
32K
128K
1M
2M
Database Rank
#17
Percentile
Top 84%
Capacity
High
Benchmark Performance
Evaluation profile across publicly reported benchmarks
|
MMMU
|
Vision | 64.9 % | 2025 |
|
MMLU
|
Knowledge | 78.6 % | 2025 |
|
GPQA
|
Reasoning | 42.4 % | 2025 |
|
HumanEval
|
Coding | 87.8 % | 2025 |
|
LiveCodeBench
|
Coding | 29.7 % | 2025 |
|
GSM8K
|
Mathematics | 95.9 % | 2025 |
|
IFEval
|
Instruction Following | 90.4 % | 2025 |
|
HellaSwag
|
Reasoning | 85.6 % | 2025 |
|
MMLU
|
Knowledge | 75.4 % | 2025 |
Highest Benchmark
GSM8K
95.9%
Benchmarks Available
9
Latest Evaluation
Mar 2025
