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GPT-4o mini vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
GPT-4o mini leads with 1.3% higher average benchmark score. Mistral Small 3.1 24B Base offers 111.6K more tokens in context window than GPT-4o mini. Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
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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 3.1 24B Base represents an updated iteration of the 24B foundation model, developed with architectural refinements and improved training. Built to provide enhanced base capabilities for fine-tuning, it incorporates learnings from previous versions for better downstream performance.
8 months newer
GPT-4o mini
OpenAI
2024-07-18
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4o mini
Input:$0.15
Output:$0.60
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Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30($0.35 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-4o mini
Average Score:60.5%(+1.3%)
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Mistral Small 3.1 24B Base
Average Score:59.3%
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
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 3.1 24B Base
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GPT-4o mini
Avg Score:60.5%(+1.3%)
Providers:1
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Mistral Small 3.1 24B Base
Avg Score:59.3%
Providers:1