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GPT-4.1 mini vs Granite 3.3 8B Base
Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 3.3% higher average benchmark score. GPT-4.1 mini is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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 Base is a multimodal language model developed by IBM. It achieves strong performance with an average score of 64.3% across 20 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 mini
OpenAI
2025-04-14
Granite 3.3 8B Base
IBM
2025-04-16
Performance Metrics
Context window and performance specifications
Average performance across 46 common benchmarks
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GPT-4.1 mini
Average Score:31.3%(+3.3%)
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Granite 3.3 8B Base
Average Score:27.9%
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Knowledge Cutoff
Training data recency comparison
Granite 3.3 8B Base
2024-04-01
GPT-4.1 mini
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 mini
2 providers
OpenAI
Throughput: 150 tok/s
Latency: 5ms
ZeroEval
Throughput: 150 tok/s
Latency: 5ms
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GPT-4.1 mini
Avg Score:31.3%(+3.3%)
Providers:2
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Granite 3.3 8B Base
Avg Score:27.9%
Providers:0