Overview
The recent rollout of ChatGPT 4.1 marked a significant improvement over its predecessors. However, it fell short in a head-to-head comparison with Google’s advanced model, Gemini 2.5. Today, we examine where ChatGPT 4.1 stands in light of this intense AI benchmarking competition.
Access Expanded for Developers
OpenAI has expanded access for developers, offering three variations of its latest model: GPT-4.1, GPT-4.1 Mini, and GPT-4.1 Nano. These new options showcase superior capabilities particularly in coding tasks, compared to earlier versions.
- GPT-4.1 boasts a 54.6% score on SWE-bench Verified, drastically surpassing its predecessors GPT-4o and GPT-4.5.
Comparative Analysis
While originated for various benchmarking purposes, GPT 4.1’s performance still lags when placed against the powerhouse Gemini 2.5 Pro. The comparison reveals:
- Error Rate: GPT-4.1 recorded a higher error rate (16.67%) than Gemini 2.5.
- Cost Efficiency: GPT-4.1 is over ten times more expensive than Gemini 2.0 Flash.
- Performance-cost ratio: Models like Gemini 2.0 Flash and Gemini 2.5 Pro continue to dominate in delivering high performance cost-effectively.
Graphical Insights

Additional data by Pierre Bongrand highlights that despite being more affordable than earlier models, GPT‑4.1 does not offer the best value compared to other competitive models available in the market.
Coding Performance Insights
In the realm of coding, the difference becomes even more pronounced:
- According to Aider Polyglot’s analysis, GPT-4.1 scored only 52%, whereas Gemini 2.5 soared at 73%.
Nevertheless, GPT-4.1 maintains a competitive edge as one of OpenAI’s top models for coding, available for a free trial via Windsurf AI.
In summary, while GPT-4.1 exhibits impressive improvements and remains a robust option among AI models, Gemini 2.5’s superior performance and cost-effectiveness set a new benchmark—a challenging frontier for its competitors.
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Last Updated: April 15, 2025