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GPT-4.1 nano vs Mistral Small 3 24B Base
Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 7.6% higher average benchmark score. 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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Mistral AI
Mistral Small 24B Base was developed as a 24-billion-parameter foundation model, designed to serve as a base for fine-tuning and customization. Built to provide a strong starting point for domain-specific applications, it represents an intermediate-scale option in Mistral's model lineup.
2 months newer
Mistral Small 3 24B Base
Mistral AI
2025-01-30
GPT-4.1 nano
OpenAI
2025-04-14
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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:65.2%(+7.6%)
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Mistral Small 3 24B Base
Average Score:57.6%
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Base
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 24B Base
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GPT-4.1 nano
Avg Score:65.2%(+7.6%)
Providers:1
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Mistral Small 3 24B Base
Avg Score:57.6%
Providers:0