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Gemini 1.5 Flash 8B vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash 8B leads with 9.8% higher average benchmark score. Gemini 1.5 Flash 8B offers 800.8K more tokens in context window than Phi-3.5-mini-instruct. Both models have similar pricing. Gemini 1.5 Flash 8B supports multimodal inputs. Overall, Gemini 1.5 Flash 8B 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-3.5 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
5 months newer
Gemini 1.5 Flash 8B
2024-03-15
Phi-3.5-mini-instruct
Microsoft
2024-08-23
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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-3.5-mini-instruct
Input:$0.10
Output:$0.10($0.17 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%(+9.8%)
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Phi-3.5-mini-instruct
Average Score:42.1%
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Knowledge Cutoff
Training data recency comparison
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-3.5-mini-instruct
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Gemini 1.5 Flash 8B
Avg Score:51.9%(+9.8%)
Providers:1
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Phi-3.5-mini-instruct
Avg Score:42.1%
Providers:1