Comprehensive side-by-side LLM comparison
Llama 3.1 405B Instruct leads with 20.9% higher average benchmark score. Llama 3.1 405B Instruct offers 192.0K more tokens in context window than Gemma 3n E4B Instructed. Llama 3.1 405B Instruct is $58.22 cheaper per million tokens. Gemma 3n E4B Instructed supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 providers. Overall, Llama 3.1 405B Instruct is the stronger choice for coding tasks.
Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.
11 months newer
Llama 3.1 405B Instruct
Meta
2024-07-23
Gemma 3n E4B Instructed
2025-06-26
Cost per million tokens (USD)
Gemma 3n E4B Instructed
Llama 3.1 405B Instruct
Context window and performance specifications
Average performance across 32 common benchmarks
Gemma 3n E4B Instructed
Llama 3.1 405B Instruct
Gemma 3n E4B Instructed
2024-06-01
Available providers and their performance metrics
Gemma 3n E4B Instructed
Together
Llama 3.1 405B Instruct
Gemma 3n E4B Instructed
Llama 3.1 405B Instruct
Gemma 3n E4B Instructed
Llama 3.1 405B Instruct
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