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GPT-4.1 nano vs Granite 3.3 8B Instruct
Comprehensive side-by-side LLM comparison
Granite 3.3 8B Instruct leads with 3.4% higher average benchmark score. 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
Granite 3.3 8B Instruct is a multimodal language model developed by IBM. It achieves strong performance with an average score of 69.8% across 14 benchmarks. It excels particularly in HumanEval (89.7%), AttaQ (88.5%), HumanEval+ (86.1%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents IBM's latest advancement in AI technology.
2 days newer
GPT-4.1 nano
OpenAI
2025-04-14
Granite 3.3 8B Instruct
IBM
2025-04-16
Performance Metrics
Context window and performance specifications
Average performance across 36 common benchmarks
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GPT-4.1 nano
Average Score:23.7%
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Granite 3.3 8B Instruct
Average Score:27.2%(+3.4%)
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Knowledge Cutoff
Training data recency comparison
Granite 3.3 8B Instruct
2024-04-01
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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Granite 3.3 8B Instruct
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GPT-4.1 nano
Avg Score:23.7%
Providers:1
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Granite 3.3 8B Instruct
Avg Score:27.2%(+3.4%)
Providers:0