Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash-Lite leads with 5.4% higher average benchmark score. Gemini 2.0 Flash-Lite offers 1.0M more tokens in context window than Phi 4. Both models have similar pricing. Gemini 2.0 Flash-Lite supports multimodal inputs. Overall, Gemini 2.0 Flash-Lite is the stronger choice for coding tasks.
Gemini 2.0 Flash Lite was created as an even more efficient variant of Gemini 2.0 Flash, designed for applications where minimal latency and maximum cost-effectiveness are essential. Built to bring next-generation multimodal capabilities to resource-constrained deployments, it optimizes for speed and affordability.
Microsoft
Phi-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
1 month newer

Phi 4
Microsoft
2024-12-12

Gemini 2.0 Flash-Lite
2025-02-05
Cost per million tokens (USD)

Gemini 2.0 Flash-Lite

Phi 4
Context window and performance specifications
Average performance across 4 common benchmarks

Gemini 2.0 Flash-Lite

Phi 4
Gemini 2.0 Flash-Lite
2024-06-01
Phi 4
2024-06-01
Available providers and their performance metrics

Gemini 2.0 Flash-Lite

Phi 4

Gemini 2.0 Flash-Lite

Phi 4

Gemini 2.0 Flash-Lite

Phi 4
DeepInfra