Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 15.5% higher average benchmark score. Gemini 2.5 Pro offers 858.1K more tokens in context window than Ministral 8B Instruct. Ministral 8B Instruct is $11.05 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Overall, Gemini 2.5 Pro is the stronger choice for coding tasks.
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.
Mistral AI
Ministral 8B Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.3% across 11 benchmarks. It excels particularly in MT-Bench (83.0%), Winogrande (75.3%), ARC-C (71.9%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
7 months newer
Ministral 8B Instruct
Mistral AI
2024-10-16
Gemini 2.5 Pro
2025-05-20
Cost per million tokens (USD)
Gemini 2.5 Pro
Ministral 8B Instruct
Context window and performance specifications
Average performance across 27 common benchmarks
Gemini 2.5 Pro
Ministral 8B Instruct
Gemini 2.5 Pro
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro
ZeroEval
Gemini 2.5 Pro
Ministral 8B Instruct
Gemini 2.5 Pro
Ministral 8B Instruct
Ministral 8B Instruct
Mistral AI