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Gemini 1.5 Flash 8B vs Phi 4
Comprehensive side-by-side LLM comparison
Phi 4 leads with 17.0% higher average benchmark score. Gemini 1.5 Flash 8B offers 1.0M more tokens in context window than Phi 4. Both models have similar pricing. Gemini 1.5 Flash 8B supports multimodal inputs. Overall, Phi 4 is the stronger choice for coding tasks.
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Gemini 1.5 Flash 8B was developed as an ultra-compact variant of Gemini 1.5 Flash, designed to deliver multimodal capabilities with minimal resource requirements. Built for deployment scenarios where efficiency is critical, it provides a lightweight option for applications requiring fast, cost-effective AI processing.
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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.
9 months newer
Gemini 1.5 Flash 8B
2024-03-15
Phi 4
Microsoft
2024-12-12
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.5 Flash 8B
Input:$0.07
Output:$0.30
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Phi 4
Input:$0.07
Output:$0.14($0.16 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Gemini 1.5 Flash 8B
Average Score:51.9%
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Phi 4
Average Score:69.0%(+17.0%)
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Knowledge Cutoff
Training data recency comparison
Phi 4
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
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Gemini 1.5 Flash 8B
Avg Score:51.9%
Providers:1
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Phi 4
Avg Score:69.0%(+17.0%)
Providers:1