Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 35.3% higher average benchmark score. Phi-4-multimodal-instruct offers 235.5K more tokens in context window than GPT-3.5 Turbo. Phi-4-multimodal-instruct is $1.85 cheaper per million tokens. Phi-4-multimodal-instruct supports multimodal inputs. Overall, Phi-4-multimodal-instruct is the stronger choice for coding tasks.
OpenAI
GPT-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.
Microsoft
Phi-4-multimodal-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 72.0% across 15 benchmarks. It excels particularly in ScienceQA Visual (97.5%), DocVQA (93.2%), MMBench (86.7%). 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 Microsoft's latest advancement in AI technology.
1 year newer
GPT-3.5 Turbo
OpenAI
2023-03-21
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Cost per million tokens (USD)
GPT-3.5 Turbo
Phi-4-multimodal-instruct
Context window and performance specifications
Average performance across 21 common benchmarks
GPT-3.5 Turbo
Phi-4-multimodal-instruct
GPT-3.5 Turbo
2021-09-30
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics
GPT-3.5 Turbo
Azure
OpenAI
GPT-3.5 Turbo
Phi-4-multimodal-instruct
GPT-3.5 Turbo
Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
DeepInfra