Comprehensive side-by-side LLM comparison
Claude 3.7 Sonnet leads with 42.5% higher average benchmark score. Claude 3.7 Sonnet offers 72.0K more tokens in context window than Phi-3.5-mini-instruct. Phi-3.5-mini-instruct is $17.80 cheaper per million tokens. Claude 3.7 Sonnet supports multimodal inputs. Claude 3.7 Sonnet is available on 4 providers. Overall, Claude 3.7 Sonnet is the stronger choice for coding tasks.
Anthropic
Claude 3.7 Sonnet represents Anthropic's first hybrid reasoning model, capable of producing near-instant responses or extended step-by-step thinking that is visible to users. Developed with particularly strong improvements in coding and front-end web development, it allows users to control thinking budgets and balances real-world task performance with reasoning capabilities for enterprise applications.
Microsoft
Phi-3.5 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
6 months newer

Phi-3.5-mini-instruct
Microsoft
2024-08-23

Claude 3.7 Sonnet
Anthropic
2025-02-24
Cost per million tokens (USD)

Claude 3.7 Sonnet

Phi-3.5-mini-instruct
Context window and performance specifications
Average performance across 2 common benchmarks

Claude 3.7 Sonnet

Phi-3.5-mini-instruct
Available providers and their performance metrics

Claude 3.7 Sonnet
Anthropic
Bedrock
ZeroEval

Claude 3.7 Sonnet

Phi-3.5-mini-instruct

Claude 3.7 Sonnet

Phi-3.5-mini-instruct

Phi-3.5-mini-instruct
Azure