Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Gemini 2.0 Flash offers 1.0M more tokens in context window than Phi 4. Both models have similar pricing. Gemini 2.0 Flash supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). With a 1.1M 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.
11 days newer
Gemini 2.0 Flash
2024-12-01
Phi 4
Microsoft
2024-12-12
Cost per million tokens (USD)
Gemini 2.0 Flash
Phi 4
Context window and performance specifications
Average performance across 23 common benchmarks
Gemini 2.0 Flash
Phi 4
Phi 4
2024-06-01
Gemini 2.0 Flash
2024-08-01
Available providers and their performance metrics
Gemini 2.0 Flash
Phi 4
Gemini 2.0 Flash
Phi 4
Gemini 2.0 Flash
Phi 4
DeepInfra