Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash-Lite leads with 8.1% higher average benchmark score. Gemini 2.5 Flash-Lite offers 1.1M more tokens in context window than Phi 4. Both models have similar pricing. Gemini 2.5 Flash-Lite supports multimodal inputs. Overall, Gemini 2.5 Flash-Lite is the stronger choice for coding tasks.
Gemini 2.5 Flash Lite was created as the most efficient option in the Gemini 2.5 family, designed to provide cutting-edge capabilities with minimal computational overhead. Built for applications where cost and latency are primary concerns, it extends advanced multimodal understanding to resource-conscious deployments.
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.
6 months newer

Phi 4
Microsoft
2024-12-12

Gemini 2.5 Flash-Lite
2025-06-17
Cost per million tokens (USD)

Gemini 2.5 Flash-Lite

Phi 4
Context window and performance specifications
Average performance across 2 common benchmarks

Gemini 2.5 Flash-Lite

Phi 4
Phi 4
2024-06-01
Gemini 2.5 Flash-Lite
2025-01-01
Available providers and their performance metrics

Gemini 2.5 Flash-Lite

Phi 4

Gemini 2.5 Flash-Lite

Phi 4

Gemini 2.5 Flash-Lite

Phi 4
DeepInfra