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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 15.6% higher average benchmark score. GPT-4.1 nano supports multimodal inputs. Overall, GPT-4.1 nano is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 Nano was developed as the smallest and most efficient variant in the GPT-4.1 family, designed for applications requiring minimal latency and resource usage. Built to enable AI capabilities on edge devices and resource-constrained environments, it distills GPT-4.1 capabilities into an ultra-compact form factor.
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IBM
Granite 4.0 Tiny Preview was introduced as an experimental ultra-compact model, designed to demonstrate IBM's progress in efficient model development. Built to explore the boundaries of what small models can achieve for enterprise applications, it represents an early look at next-generation Granite capabilities.
18 days newer
GPT-4.1 nano
OpenAI
2025-04-14
IBM Granite 4.0 Tiny Preview
IBM
2025-05-02
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-4.1 nano
Average Score:77.3%(+15.6%)
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IBM Granite 4.0 Tiny Preview
Average Score:61.7%
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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:77.3%(+15.6%)
Providers:1
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IBM Granite 4.0 Tiny Preview
Avg Score:61.7%
Providers:0