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Gemini 2.5 Flash-Lite vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash-Lite leads with 34.2% higher average benchmark score. Gemini 2.5 Flash-Lite offers 858.1K more tokens in context window than Phi-3.5-mini-instruct. Both models have similar pricing. Gemini 2.5 Flash-Lite supports multimodal inputs. Overall, Gemini 2.5 Flash-Lite is the stronger choice for coding tasks.
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Gemini 2.5 Flash Lite was created as the most efficient option in the Gemini 2.5 family, designed to provide cutting-edge capabilities with minimal computational overhead. Built for applications where cost and latency are primary concerns, it extends advanced multimodal understanding to resource-conscious deployments.
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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.
9 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Gemini 2.5 Flash-Lite
2025-06-17
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.5 Flash-Lite
Input:$0.10
Output:$0.40
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($0.30 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemini 2.5 Flash-Lite
Average Score:64.6%(+34.2%)
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Phi-3.5-mini-instruct
Average Score:30.4%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Flash-Lite
2025-01-01
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 2.5 Flash-Lite
1 providers
Throughput: 5.69 tok/s
Latency: 0.44ms
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Phi-3.5-mini-instruct
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Gemini 2.5 Flash-Lite
Avg Score:64.6%(+34.2%)
Providers:1
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Phi-3.5-mini-instruct
Avg Score:30.4%
Providers:1