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GPT-4.1 nano vs IBM Granite 4.0 Tiny Preview
Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 4.8% higher average benchmark score. GPT-4.1 nano supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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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IBM
IBM Granite 4.0 Tiny Preview is a language model developed by IBM. The model shows competitive results across 12 benchmarks. It excels particularly in AttaQ (86.1%), HumanEval (82.4%), HumanEval+ (78.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents IBM's latest advancement in AI technology.
18 days newer
GPT-4.1 nano
OpenAI
2025-04-14
IBM Granite 4.0 Tiny Preview
IBM
2025-05-02
Performance Metrics
Context window and performance specifications
Average performance across 35 common benchmarks
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GPT-4.1 nano
Average Score:24.4%(+4.8%)
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IBM Granite 4.0 Tiny Preview
Average Score:19.6%
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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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IBM Granite 4.0 Tiny Preview
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GPT-4.1 nano
Avg Score:24.4%(+4.8%)
Providers:1
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IBM Granite 4.0 Tiny Preview
Avg Score:19.6%
Providers:0