Comprehensive side-by-side LLM comparison
Phi 4 leads with 36.3% higher average benchmark score. Mistral Small 3.1 24B Base offers 224.0K more tokens in context window than Phi 4. Both models have similar pricing. Mistral Small 3.1 24B Base supports multimodal inputs. Overall, Phi 4 is the stronger choice for coding tasks.
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.
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 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.
3 months newer
Phi 4
Microsoft
2024-12-12
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Cost per million tokens (USD)
Mistral Small 3.1 24B Base
Phi 4
Context window and performance specifications
Average performance across 15 common benchmarks
Mistral Small 3.1 24B Base
Phi 4
Phi 4
2024-06-01
Available providers and their performance metrics
Mistral Small 3.1 24B Base
Mistral AI
Phi 4
Mistral Small 3.1 24B Base
Phi 4
Mistral Small 3.1 24B Base
Phi 4
DeepInfra