Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash leads with 3.4% higher average benchmark score. Gemini 1.5 Flash offers 800.8K more tokens in context window than Llama 3.1 70B Instruct. Both models have similar pricing. Gemini 1.5 Flash supports multimodal inputs. Llama 3.1 70B Instruct is available on 9 providers. Both models have their strengths depending on your specific coding needs.
Gemini 1.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.8% across 22 benchmarks. It excels particularly in XSTest (97.0%), HellaSwag (86.5%), GSM8k (86.2%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 2024, 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.
2 months newer
Gemini 1.5 Flash
2024-05-01
Llama 3.1 70B Instruct
Meta
2024-07-23
Cost per million tokens (USD)
Gemini 1.5 Flash
Llama 3.1 70B Instruct
Context window and performance specifications
Average performance across 36 common benchmarks
Gemini 1.5 Flash
Llama 3.1 70B Instruct
Gemini 1.5 Flash
2023-11-01
Available providers and their performance metrics
Gemini 1.5 Flash
Llama 3.1 70B Instruct
Gemini 1.5 Flash
Llama 3.1 70B Instruct
Gemini 1.5 Flash
Llama 3.1 70B Instruct
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