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Gemini 1.5 Flash 8B vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Phi 4 Mini leads with 12.0% higher average benchmark score. Gemini 1.5 Flash 8B supports multimodal inputs. Overall, Phi 4 Mini is the stronger choice for coding tasks.
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Gemini 1.5 Flash 8B is a multimodal language model developed by Google. It achieves strong performance with an average score of 60.5% across 13 benchmarks. It excels particularly in XSTest (92.6%), FLEURS (86.4%), Natural2Code (75.5%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, 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.
10 months newer
Gemini 1.5 Flash 8B
2024-03-15
Phi 4 Mini
Microsoft
2025-02-01
Performance Metrics
Context window and performance specifications
Average performance across 27 common benchmarks
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Gemini 1.5 Flash 8B
Average Score:29.1%
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Phi 4 Mini
Average Score:41.1%(+12.0%)
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini
2024-06-01
Gemini 1.5 Flash 8B
2024-10-01
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 Flash 8B
1 providers
Throughput: 150 tok/s
Latency: 0.3ms
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Phi 4 Mini
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Gemini 1.5 Flash 8B
Avg Score:29.1%
Providers:1
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Phi 4 Mini
Avg Score:41.1%(+12.0%)
Providers:0