Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Gemma 3 4B offers 6.1K more tokens in context window than Llama 3.1 70B Instruct. Both models have similar pricing. Gemma 3 4B supports multimodal inputs. Llama 3.1 70B Instruct is available on 9 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 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 74.7% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (95.1%), ARC-C (94.8%), API-Bank (90.0%). It supports a 256K 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.
7 months newer
Llama 3.1 70B Instruct
Meta
2024-07-23
Gemma 3 4B
2025-03-12
Cost per million tokens (USD)
Gemma 3 4B
Llama 3.1 70B Instruct
Context window and performance specifications
Average performance across 40 common benchmarks
Gemma 3 4B
Llama 3.1 70B Instruct
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
Llama 3.1 70B Instruct
Gemma 3 4B
Llama 3.1 70B Instruct
Gemma 3 4B
Llama 3.1 70B Instruct
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