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GPT-4 vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
GPT-4 leads with 1.8% higher average benchmark score. Mistral Small 3.1 24B Base offers 190.5K more tokens in context window than GPT-4. Mistral Small 3.1 24B Base is $89.60 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-4 was created as a large multimodal model capable of accepting image and text inputs while producing text outputs. Developed to exhibit human-level performance on various professional and academic benchmarks, it marked a significant advancement in reliability, creativity, and handling of nuanced instructions compared to its predecessors.
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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.
1 year newer
GPT-4
OpenAI
2023-06-13
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-4
Input:$30.00
Output:$60.00
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Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30($89.60 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-4
Average Score:61.1%(+1.8%)
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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-4
2022-12-31
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
2 providers
Azure
Throughput: 104 tok/s
Latency: 0.3ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
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GPT-4
Avg Score:61.1%(+1.8%)
Providers:2
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Mistral Small 3.1 24B Base
Avg Score:59.3%
Providers:1