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GPT-4.1 mini vs Mistral Small 3 24B Base
Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 18.7% higher average benchmark score. GPT-4.1 mini is available on 2 providers. Overall, GPT-4.1 mini is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 Mini was created as a smaller, more efficient variant of GPT-4.1, designed to provide strong capabilities with reduced computational requirements. Built to serve applications where speed and cost are priorities while maintaining solid performance, it extends the GPT-4.1 capabilities to resource-conscious deployments.
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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 mini
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 mini
Average Score:76.3%(+18.7%)
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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 mini
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 mini
2 providers
OpenAI
Throughput: 150 tok/s
Latency: 5ms
ZeroEval
Throughput: 150 tok/s
Latency: 5ms
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GPT-4.1 mini
Avg Score:76.3%(+18.7%)
Providers:2
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Mistral Small 3 24B Base
Avg Score:57.6%
Providers:0