Comprehensive side-by-side LLM comparison
Llama 3.1 405B Instruct leads with 1.3% higher average benchmark score. Gemma 3 4B offers 6.1K more tokens in context window than Llama 3.1 405B Instruct. Gemma 3 4B is $1.72 cheaper per million tokens. Gemma 3 4B supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 providers. Both models have their strengths depending on your specific coding needs.
Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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 4B
2025-03-12
Cost per million tokens (USD)
Gemma 3 4B
Llama 3.1 405B Instruct
Context window and performance specifications
Average performance across 38 common benchmarks
Gemma 3 4B
Llama 3.1 405B Instruct
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
Llama 3.1 405B Instruct
Gemma 3 4B
Llama 3.1 405B Instruct
Gemma 3 4B
Llama 3.1 405B Instruct
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