Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemma 3 27B
Gemma 3 27B is a multimodal language model developed by Google. It achieves strong performance with an average score of 65.4% across 26 benchmarks. It excels particularly in GSM8k (95.9%), IFEval (90.4%), MATH (89.0%). The model shows particular specialization in math tasks with an average performance of 78.2%. It supports a 262K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

Llama 3.1 8B Instruct
Meta
Llama 3.1 8B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 61.3% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (84.5%), ARC-C (83.4%), API-Bank (82.6%). It supports a 262K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.

Llama 3.1 8B Instruct
Meta
2024-07-23

Gemma 3 27B
2025-03-12
7 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemma 3 27B

Llama 3.1 8B Instruct
Performance Metrics
Context window and performance specifications

Gemma 3 27B

Llama 3.1 8B Instruct
Average performance across 4 common benchmarks

Gemma 3 27B

Llama 3.1 8B Instruct
Performance comparison across key benchmark categories

Gemma 3 27B

Llama 3.1 8B Instruct
Llama 3.1 8B Instruct
2023-12-31
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3 27B
DeepInfra
Novita

Llama 3.1 8B Instruct
Sambanova
Together
Hyperbolic
DeepInfra
Fireworks
Groq
Bedrock
Lambda
Cerebras

Gemma 3 27B

Llama 3.1 8B Instruct