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GPT-4.1 nano vs Magistral Medium
Comprehensive side-by-side LLM comparison
Magistral Medium leads with 34.0% higher average benchmark score. Overall, Magistral Medium 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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Mistral AI
Magistral Medium was introduced as a specialized model for advanced reasoning and analytical tasks, designed to handle complex problem-solving scenarios. Built to serve enterprise and professional applications requiring sophisticated reasoning, it represents Mistral's focus on high-quality analytical capabilities.
1 month newer
GPT-4.1 nano
OpenAI
2025-04-14
Magistral Medium
Mistral AI
2025-06-10
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-4.1 nano
Average Score:29.8%
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Magistral Medium
Average Score:63.8%(+34.0%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
Magistral Medium
2025-06-01
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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Magistral Medium
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GPT-4.1 nano
Avg Score:29.8%
Providers:1
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Magistral Medium
Avg Score:63.8%(+34.0%)
Providers:0