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Gemini 1.5 Flash 8B vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 5.0% higher average benchmark score. GPT-4.1 nano offers 23.6K more tokens in context window than Gemini 1.5 Flash 8B. Both models have similar pricing. Overall, GPT-4.1 nano 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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OpenAI
GPT-4.1 Nano was developed as the smallest and most efficient variant in the GPT-4.1 family, designed for applications requiring minimal latency and resource usage. Built to enable AI capabilities on edge devices and resource-constrained environments, it distills GPT-4.1 capabilities into an ultra-compact form factor.
1 year newer
Gemini 1.5 Flash 8B
2024-03-15
GPT-4.1 nano
OpenAI
2025-04-14
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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($0.13 cheaper)
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GPT-4.1 nano
Input:$0.10
Output:$0.40
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Gemini 1.5 Flash 8B
Average Score:48.9%
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GPT-4.1 nano
Average Score:54.0%(+5.0%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
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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GPT-4.1 nano
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Gemini 1.5 Flash 8B
Avg Score:48.9%
Providers:1
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GPT-4.1 nano
Avg Score:54.0%(+5.0%)
Providers:1