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Gemini 2.5 Pro vs Phi 4
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 37.4% higher average benchmark score. Gemini 2.5 Pro offers 1.1M more tokens in context window than Phi 4. Phi 4 is $11.04 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Overall, Gemini 2.5 Pro is the stronger choice for coding tasks.
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Gemini 2.5 Pro was developed as Google's most intelligent AI model, designed to comprehend vast datasets and challenging problems from diverse information sources including text, audio, images, and video. Built to handle complex reasoning and multi-step problem solving, it represents Google's flagship offering for enterprise and advanced applications.
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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.
5 months newer
Phi 4
Microsoft
2024-12-12
Gemini 2.5 Pro
2025-05-20
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.5 Pro
Input:$1.25
Output:$10.00
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Phi 4
Input:$0.07
Output:$0.14($11.04 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemini 2.5 Pro
Average Score:66.9%(+37.4%)
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Phi 4
Average Score:29.6%
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Knowledge Cutoff
Training data recency comparison
Phi 4
2024-06-01
Gemini 2.5 Pro
2025-01-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 2.5 Pro
2 providers
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Gemini 2.5 Pro
Avg Score:66.9%(+37.4%)
Providers:2
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Phi 4
Avg Score:29.6%
Providers:1