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GPT-4o mini vs Mistral Small 3 24B Base
Comprehensive side-by-side LLM comparison
GPT-4o mini leads with 10.4% higher average benchmark score. Overall, GPT-4o mini is the stronger choice for coding tasks.
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OpenAI
GPT-4o Mini was created as a smaller, more efficient variant of GPT-4o, designed to bring multimodal capabilities to applications requiring faster response times and lower costs. Built to democratize access to advanced vision and text understanding, it enables developers to build sophisticated applications with reduced resource requirements.
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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.
6 months newer
GPT-4o mini
OpenAI
2024-07-18
Mistral Small 3 24B Base
Mistral AI
2025-01-30
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-4o mini
Average Score:64.1%(+10.4%)
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Mistral Small 3 24B Base
Average Score:53.7%
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
Mistral Small 3 24B Base
2023-10-01
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-4o mini
1 providers
Azure
Throughput: 92 tok/s
Latency: 0.52ms
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Mistral Small 3 24B Base
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GPT-4o mini
Avg Score:64.1%(+10.4%)
Providers:1
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Mistral Small 3 24B Base
Avg Score:53.7%
Providers:0