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 24B Base
Mistral AI
Mistral Small 3 24B Base is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 67.0% across 9 benchmarks. It excels particularly in ARC-C (91.3%), GSM8k (80.7%), MMLU (80.7%). 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 24B Base
Mistral AI
2025-01-30

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

Gemini 2.5 Flash

Mistral Small 3 24B Base
Average performance across 1 common benchmarks

Gemini 2.5 Flash

Mistral Small 3 24B Base
Performance comparison across key benchmark categories

Gemini 2.5 Flash

Mistral Small 3 24B Base
Mistral Small 3 24B Base
2023-10-01
Gemini 2.5 Flash
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Flash
ZeroEval

Mistral Small 3 24B Base

Gemini 2.5 Flash

Mistral Small 3 24B Base