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GPT-4.1 vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
GPT-4.1 leads with 17.8% higher average benchmark score. GPT-4.1 offers 824.3K more tokens in context window than Mistral Small 3.1 24B Base. Mistral Small 3.1 24B Base is $9.60 cheaper per million tokens. Overall, GPT-4.1 is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 represents an iterative improvement in the GPT-4 series, developed to refine the foundational capabilities established by GPT-4. Built to incorporate learnings and optimizations from the deployment of previous versions, it continues the evolution of OpenAI's flagship model line with enhanced reliability and performance.
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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.
28 days newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
GPT-4.1
OpenAI
2025-04-14
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4.1
Input:$2.00
Output:$8.00
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Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30($9.60 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-4.1
Average Score:77.1%(+17.8%)
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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-4.1
2024-06-01
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-4.1
1 providers
OpenAI
Throughput: 100 tok/s
Latency: 10ms
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Mistral Small 3.1 24B Base
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GPT-4.1
Avg Score:77.1%(+17.8%)
Providers:1
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Mistral Small 3.1 24B Base
Avg Score:59.3%
Providers:1