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Gemini 2.0 Flash vs GPT-4.1 mini
Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 2.5% higher average benchmark score. GPT-4.1 mini offers 23.6K more tokens in context window than Gemini 2.0 Flash. Gemini 2.0 Flash is $1.50 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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Gemini 2.0 Flash was developed as the next generation of Google's fast multimodal model, designed to provide improved performance while maintaining the speed and efficiency that defines the Flash family. Built with enhanced reasoning and generation capabilities, it serves applications requiring both quality and responsiveness.
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OpenAI
GPT-4.1 Mini was created as a smaller, more efficient variant of GPT-4.1, designed to provide strong capabilities with reduced computational requirements. Built to serve applications where speed and cost are priorities while maintaining solid performance, it extends the GPT-4.1 capabilities to resource-conscious deployments.
4 months newer
Gemini 2.0 Flash
2024-12-01
GPT-4.1 mini
OpenAI
2025-04-14
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.0 Flash
Input:$0.10
Output:$0.40($1.50 cheaper)
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GPT-4.1 mini
Input:$0.40
Output:$1.60
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemini 2.0 Flash
Average Score:66.4%
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GPT-4.1 mini
Average Score:68.8%(+2.5%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 mini
2024-05-31
Gemini 2.0 Flash
2024-08-01
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 2.0 Flash
1 providers
Throughput: 183 tok/s
Latency: 0.4ms
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GPT-4.1 mini
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Gemini 2.0 Flash
Avg Score:66.4%
Providers:1
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GPT-4.1 mini
Avg Score:68.8%(+2.5%)
Providers:2