Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 7.3% higher average benchmark score. Gemma 3 27B offers 6.1K more tokens in context window than Llama 3.1 405B Instruct. Gemma 3 27B is $1.48 cheaper per million tokens. Gemma 3 27B supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 providers. Overall, Gemma 3 27B is the stronger choice for coding tasks.
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%). 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.
Meta
Llama 3.1 405B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.2% across 18 benchmarks. It excels particularly in ARC-C (96.9%), GSM8k (96.8%), API-Bank (92.0%). It supports a 256K token context window for handling large documents. The model is available through 8 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.
7 months newer
Llama 3.1 405B Instruct
Meta
2024-07-23
Gemma 3 27B
2025-03-12
Cost per million tokens (USD)
Gemma 3 27B
Llama 3.1 405B Instruct
Context window and performance specifications
Average performance across 38 common benchmarks
Gemma 3 27B
Llama 3.1 405B Instruct
Available providers and their performance metrics
Gemma 3 27B
DeepInfra
Novita
Gemma 3 27B
Llama 3.1 405B Instruct
Gemma 3 27B
Llama 3.1 405B Instruct
Llama 3.1 405B Instruct
Bedrock
DeepInfra
Fireworks
Hyperbolic
Lambda
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