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Gemini 1.5 Pro vs Phi 4
Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 3.3% 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. Both models have their strengths depending on your specific coding needs.
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Gemini 1.5 Pro was introduced as Google's advanced multimodal model with an expanded context window, designed to comprehend and reason across long documents, videos, and audio. Built to handle complex, information-rich tasks, it brought breakthrough capabilities in processing extended context while maintaining high-quality reasoning and generation.
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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.
7 months newer
Gemini 1.5 Pro
2024-05-01
Phi 4
Microsoft
2024-12-12
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.5 Pro
Input:$2.50
Output:$10.00
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Phi 4
Input:$0.07
Output:$0.14($12.29 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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Gemini 1.5 Pro
Average Score:79.1%(+3.3%)
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Phi 4
Average Score:75.8%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Pro
2023-11-01
Phi 4
2024-06-01
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 1.5 Pro
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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Phi 4
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Gemini 1.5 Pro
Avg Score:79.1%(+3.3%)
Providers:1
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Phi 4
Avg Score:75.8%
Providers:1