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GPT-4.1 nano vs MedGemma 4B IT
Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 13.9% higher average benchmark score. Overall, GPT-4.1 nano is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
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MedGemma 4B IT is a multimodal language model developed by Google. The model shows competitive results across 7 benchmarks. It excels particularly in MIMIC CXR (88.9%), DermMCQA (71.8%), PathMCQA (69.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
1 month newer
GPT-4.1 nano
OpenAI
2025-04-14
MedGemma 4B IT
2025-05-20
Performance Metrics
Context window and performance specifications
Average performance across 32 common benchmarks
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GPT-4.1 nano
Average Score:26.7%(+13.9%)
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MedGemma 4B IT
Average Score:12.8%
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-4.1 nano
1 providers
OpenAI
Throughput: 200 tok/s
Latency: 2ms
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MedGemma 4B IT
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GPT-4.1 nano
Avg Score:26.7%(+13.9%)
Providers:1
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MedGemma 4B IT
Avg Score:12.8%
Providers:0