Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Gemini 2.5 Pro offers 852.0K more tokens in context window than Llama 3.1 8B Instruct. Llama 3.1 8B Instruct is $11.19 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Llama 3.1 8B Instruct is available on 9 providers. Both models have their strengths depending on your specific coding needs.
Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 69.6% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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 8B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 61.3% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (84.5%), ARC-C (83.4%), API-Bank (82.6%). It supports a 262K 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.
10 months newer
Llama 3.1 8B Instruct
Meta
2024-07-23
Gemini 2.5 Pro
2025-05-20
Cost per million tokens (USD)
Gemini 2.5 Pro
Llama 3.1 8B Instruct
Context window and performance specifications
Average performance across 33 common benchmarks
Gemini 2.5 Pro
Llama 3.1 8B Instruct
Llama 3.1 8B Instruct
2023-12-31
Gemini 2.5 Pro
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro
ZeroEval
Gemini 2.5 Pro
Llama 3.1 8B Instruct
Gemini 2.5 Pro
Llama 3.1 8B Instruct
Llama 3.1 8B Instruct
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