Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemini 2.5 Pro
Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 67.1% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). The model shows particular specialization in vision tasks with an average performance of 82.2%. 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 2025, it represents Google's latest advancement in AI technology.

Mistral NeMo Instruct
Mistral AI
Mistral NeMo Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 64.3% across 8 benchmarks. It excels particularly in HellaSwag (83.5%), Winogrande (76.8%), TriviaQA (73.8%). The model shows particular specialization in reasoning tasks with an average performance of 80.2%. It supports a 256K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Mistral NeMo Instruct
Mistral AI
2024-07-18

Gemini 2.5 Pro
2025-05-20
10 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 2.5 Pro

Mistral NeMo Instruct
Performance Metrics
Context window and performance specifications

Gemini 2.5 Pro

Mistral NeMo Instruct
Performance comparison across key benchmark categories

Gemini 2.5 Pro

Mistral NeMo Instruct
Gemini 2.5 Pro
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Pro

Mistral NeMo Instruct
Mistral AI

Gemini 2.5 Pro

Mistral NeMo Instruct