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
Microsoft
Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model shows particular specialization in math tasks with an average performance of 80.5%. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

Phi 4
Microsoft
2024-12-12

Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
3 months newer
Pricing Comparison
Cost per million tokens (USD)

Mistral Small 3.1 24B Base

Phi 4
Performance Metrics
Context window and performance specifications

Mistral Small 3.1 24B Base

Phi 4
Average performance across 3 common benchmarks

Mistral Small 3.1 24B Base

Phi 4
Performance comparison across key benchmark categories

Mistral Small 3.1 24B Base

Phi 4
Phi 4
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Mistral Small 3.1 24B Base
Mistral AI

Phi 4
DeepInfra

Mistral Small 3.1 24B Base

Phi 4