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Gemini 2.5 Flash vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Phi 4 Mini leads with 7.9% higher average benchmark score. Gemini 2.5 Flash supports multimodal inputs. Gemini 2.5 Flash is available on 2 providers. Overall, Phi 4 Mini is the stronger choice for coding tasks.
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Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
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Microsoft
Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
3 months newer
Phi 4 Mini
Microsoft
2025-02-01
Gemini 2.5 Flash
2025-05-20
Performance Metrics
Context window and performance specifications
Average performance across 30 common benchmarks
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Gemini 2.5 Flash
Average Score:29.1%
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Phi 4 Mini
Average Score:37.0%(+7.9%)
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini
2024-06-01
Gemini 2.5 Flash
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 Flash
2 providers
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Gemini 2.5 Flash
Avg Score:29.1%
Providers:2
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Phi 4 Mini
Avg Score:37.0%(+7.9%)
Providers:0