Incredible Efficiency: GPT-4.1-Mini Outperforms GPT-5 in Comprehensive Data Science Benchmark
research#llm📝 Blog|Analyzed: Apr 18, 2026 16:35•
Published: Apr 18, 2026 14:57
•1 min read
•r/learnmachinelearningAnalysis
This thrilling new benchmark reveals an incredibly exciting trend in the AI industry: top-tier performance is becoming vastly more accessible and affordable. The fact that a highly cost-effective model like gpt-4.1-mini can outperform heavyweights like GPT-5 at 47 times lower cost is a massive win for developers and businesses everywhere. Furthermore, the strong showing of Open Source models like Llama 3.3-70B proves that rapid innovation is happening across the entire AI ecosystem, paving the way for amazing new applications.
Key Takeaways
- •GPT-4.1-mini achieved the highest score (0.832), showcasing amazing value and efficiency for real-world tasks.
- •Llama 3.3-70B, an Open Source model, delivered an impressive performance beating both Claude Sonnet and Haiku.
- •This benchmark tested 12 Large Language Models (LLMs) across 276 runs to provide highly robust insights.
Reference / Citation
View Original"gpt-4.1-mini leads (0.832) — beats GPT-5 at 47× lower cost"
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