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Gemini 2.5 Flash vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash leads with 52.4% higher average benchmark score. Gemini 2.5 Flash offers 858.1K more tokens in context window than Phi-3.5-mini-instruct. Phi-3.5-mini-instruct is $2.60 cheaper per million tokens. Gemini 2.5 Flash supports multimodal inputs. Overall, Gemini 2.5 Flash is the stronger choice for coding tasks.
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Gemini 2.5 Flash represents a continued evolution of Google's efficient multimodal models, designed to deliver enhanced capabilities while maintaining the performance characteristics valued in the Flash series. Built to serve high-throughput applications with improved quality, it advances the balance between speed and intelligence.
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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
2025-05-20
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.5 Flash
Input:$0.30
Output:$2.50
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($2.60 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemini 2.5 Flash
Average Score:82.8%(+52.4%)
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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
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:82.8%(+52.4%)
Providers:2
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Phi-3.5-mini-instruct
Avg Score:30.4%
Providers:1