Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed leads with 2.2% higher average benchmark score. Llama 3.2 11B Instruct offers 192.0K more tokens in context window than Gemma 3n E4B Instructed. Llama 3.2 11B Instruct is $59.90 cheaper per million tokens. Llama 3.2 11B Instruct is available on 6 providers. Both models have their strengths depending on your specific coding needs.
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 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Meta's latest advancement in AI technology.
9 months newer
Llama 3.2 11B Instruct
Meta
2024-09-25
Gemma 3n E4B Instructed
2025-06-26
Cost per million tokens (USD)
Gemma 3n E4B Instructed
Llama 3.2 11B Instruct
Context window and performance specifications
Average performance across 26 common benchmarks
Gemma 3n E4B Instructed
Llama 3.2 11B Instruct
Llama 3.2 11B Instruct
2023-12-31
Gemma 3n E4B Instructed
2024-06-01
Available providers and their performance metrics
Gemma 3n E4B Instructed
Together
Llama 3.2 11B Instruct
Gemma 3n E4B Instructed
Llama 3.2 11B Instruct
Gemma 3n E4B Instructed
Llama 3.2 11B Instruct
Bedrock
DeepInfra
Fireworks
Groq
Sambanova
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