Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 29.9% higher average benchmark score. Claude Sonnet 4.5 offers 8.0K more tokens in context window than Phi-3.5-mini-instruct. Phi-3.5-mini-instruct is $17.80 cheaper per million tokens. Claude Sonnet 4.5 supports multimodal inputs. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
Anthropic
Claude Sonnet 4.5 is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 75.8% across 9 benchmarks. It excels particularly in MMMLU (89.1%), AIME 2025 (87.0%), TAU-bench Retail (86.2%). It supports a 264K token context window for handling large documents. 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 Anthropic'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.
1 year newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Claude Sonnet 4.5
Anthropic
2025-09-29
Cost per million tokens (USD)
Claude Sonnet 4.5
Phi-3.5-mini-instruct
Context window and performance specifications
Average performance across 38 common benchmarks
Claude Sonnet 4.5
Phi-3.5-mini-instruct
Claude Sonnet 4.5
2025-01-31
Available providers and their performance metrics
Claude Sonnet 4.5
Anthropic
ZeroEval
Claude Sonnet 4.5
Phi-3.5-mini-instruct
Claude Sonnet 4.5
Phi-3.5-mini-instruct
Phi-3.5-mini-instruct
Azure