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

Gemini 1.5 Pro
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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.

Ministral 8B Instruct
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.

Gemini 1.5 Pro
2024-05-01

Ministral 8B Instruct
Mistral AI
2024-10-16
5 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 1.5 Pro

Ministral 8B Instruct
Performance Metrics
Context window and performance specifications

Gemini 1.5 Pro

Ministral 8B Instruct
Average performance across 3 common benchmarks

Gemini 1.5 Pro

Ministral 8B Instruct
Performance comparison across key benchmark categories

Gemini 1.5 Pro

Ministral 8B Instruct
Gemini 1.5 Pro
2023-11-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.5 Pro

Ministral 8B Instruct
Mistral AI

Gemini 1.5 Pro

Ministral 8B Instruct