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

Gemini 2.5 Flash
Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). 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 Small 3.1 24B Instruct
Mistral AI
Mistral Small 3.1 24B Instruct is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 64.0% across 9 benchmarks. It excels particularly in HumanEval (88.4%), MMLU (80.6%), TriviaQA (80.5%). The model shows particular specialization in code tasks with an average performance of 81.6%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.

Mistral Small 3.1 24B Instruct
Mistral AI
2025-03-17

Gemini 2.5 Flash
2025-05-20
2 months newer
Performance Metrics
Context window and performance specifications

Gemini 2.5 Flash

Mistral Small 3.1 24B Instruct
Average performance across 3 common benchmarks

Gemini 2.5 Flash

Mistral Small 3.1 24B Instruct
Performance comparison across key benchmark categories

Gemini 2.5 Flash

Mistral Small 3.1 24B Instruct
Gemini 2.5 Flash
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Flash
ZeroEval

Mistral Small 3.1 24B Instruct

Gemini 2.5 Flash

Mistral Small 3.1 24B Instruct