Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 28.0% higher average benchmark score. Gemini 1.5 Pro offers 2.1M more tokens in context window than Phi 4. Phi 4 is $12.29 cheaper per million tokens. Gemini 1.5 Pro supports multimodal inputs. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Google'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.
7 months newer
Gemini 1.5 Pro
2024-05-01
Phi 4
Microsoft
2024-12-12
Cost per million tokens (USD)
Gemini 1.5 Pro
Phi 4
Context window and performance specifications
Average performance across 29 common benchmarks
Gemini 1.5 Pro
Phi 4
Gemini 1.5 Pro
2023-11-01
Phi 4
2024-06-01
Available providers and their performance metrics
Gemini 1.5 Pro
Phi 4
Gemini 1.5 Pro
Phi 4
Gemini 1.5 Pro
Phi 4
DeepInfra