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

Mistral Small 3.1 24B Base
Mistral AI
Mistral Small 3.1 24B Base is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 62.9% across 5 benchmarks. It excels particularly in MMLU (81.0%), TriviaQA (80.5%), MMMU (59.3%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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.

Phi 4 Reasoning
Microsoft
Phi 4 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). The model shows particular specialization in code tasks with an average performance of 76.7%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

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

Phi 4 Reasoning
Microsoft
2025-04-30
1 month newer
Performance Metrics
Context window and performance specifications

Mistral Small 3.1 24B Base

Phi 4 Reasoning
Average performance across 2 common benchmarks

Mistral Small 3.1 24B Base

Phi 4 Reasoning
Performance comparison across key benchmark categories

Mistral Small 3.1 24B Base

Phi 4 Reasoning
Phi 4 Reasoning
2025-03-01
Provider Availability & Performance
Available providers and their performance metrics

Mistral Small 3.1 24B Base
Mistral AI

Phi 4 Reasoning

Mistral Small 3.1 24B Base

Phi 4 Reasoning