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GPT-4.1 nano vs Mistral Small 3.1 24B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Both models have their strengths depending on your specific coding needs.
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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
Mistral Small 3.1 24B Instruct was developed as the instruction-tuned version of the 3.1 base model, designed to deliver improved instruction-following with refinements from the updated architecture. Built to serve diverse applications with enhanced reliability, it advances the Small model line's capabilities.
28 days newer
Mistral Small 3.1 24B Instruct
Mistral AI
2025-03-17
GPT-4.1 nano
OpenAI
2025-04-14
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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:61.9%
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Mistral Small 3.1 24B Instruct
Average Score:62.0%(+0.0%)
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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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Mistral Small 3.1 24B Instruct
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GPT-4.1 nano
Avg Score:61.9%
Providers:1
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Mistral Small 3.1 24B Instruct
Avg Score:62.0%(+0.0%)
Providers:0