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Gemini 1.0 Pro vs Phi 4
Comprehensive side-by-side LLM comparison
Phi 4 leads with 22.3% higher average benchmark score. Gemini 1.0 Pro offers 9.0K more tokens in context window than Phi 4. Phi 4 is $1.79 cheaper per million tokens. Overall, Phi 4 is the stronger choice for coding tasks.
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Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.
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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.
10 months newer
Gemini 1.0 Pro
2024-02-15
Phi 4
Microsoft
2024-12-12
Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50
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Phi 4
Input:$0.07
Output:$0.14($1.79 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
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Gemini 1.0 Pro
Average Score:22.9%
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Phi 4
Average Score:45.2%(+22.3%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
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 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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Phi 4
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Gemini 1.0 Pro
Avg Score:22.9%
Providers:1
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Phi 4
Avg Score:45.2%(+22.3%)
Providers:1