Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 36.9% higher average benchmark score. Mistral Small 3 24B Base supports multimodal inputs. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
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.
Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. 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.
5 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Mistral Small 3 24B Base
Mistral AI
2025-01-30
Context window and performance specifications
Average performance across 33 common benchmarks
Mistral Small 3 24B Base
Phi-3.5-mini-instruct
Mistral Small 3 24B Base
2023-10-01
Available providers and their performance metrics
Mistral Small 3 24B Base
Phi-3.5-mini-instruct
Azure
Mistral Small 3 24B Base
Phi-3.5-mini-instruct
Mistral Small 3 24B Base
Phi-3.5-mini-instruct