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GPT-4.1 nano vs Mistral Small 3.2 24B Instruct
Comprehensive side-by-side LLM comparison
Mistral Small 3.2 24B Instruct leads with 3.1% higher average benchmark score. 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 3.2 24B Instruct represents a further evolution of the Small model series, developed with continued refinements to instruction-following and task performance. Built to incorporate ongoing improvements, it provides the latest capabilities in Mistral's intermediate-scale offering.
2 months newer
GPT-4.1 nano
OpenAI
2025-04-14
Mistral Small 3.2 24B Instruct
Mistral AI
2025-06-20
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Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-4.1 nano
Average Score:60.5%
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Mistral Small 3.2 24B Instruct
Average Score:63.6%(+3.1%)
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3.2 24B Instruct
2023-10-01
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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Mistral Small 3.2 24B Instruct
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GPT-4.1 nano
Avg Score:60.5%
Providers:1
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Mistral Small 3.2 24B Instruct
Avg Score:63.6%(+3.1%)
Providers:0