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Devstral Small 1.1 vs GPT-4.1
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. GPT-4.1 offers 824.3K more tokens in context window than Devstral Small 1.1. Devstral Small 1.1 is $9.60 cheaper per million tokens. GPT-4.1 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Devstral Small was developed as a more efficient development-focused model, designed to bring software engineering assistance to resource-conscious deployments. Built to provide coding capabilities with reduced computational requirements, it enables developer tools in environments where efficiency is paramount.
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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.
2 months newer
GPT-4.1
OpenAI
2025-04-14
Devstral Small 1.1
Mistral AI
2025-07-11
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Pricing Comparison
Cost per million tokens (USD)
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Devstral Small 1.1
Input:$0.10
Output:$0.30($9.60 cheaper)
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GPT-4.1
Input:$2.00
Output:$8.00
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Devstral Small 1.1
Average Score:53.6%
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GPT-4.1
Average Score:54.6%(+1.0%)
Performance comparison across key benchmark categories
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Devstral Small 1.1
Coding53.6%
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GPT-4.1
Coding54.6%(+1.0%)
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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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Devstral Small 1.1
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
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GPT-4.1
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Devstral Small 1.1
Avg Score:53.6%
Providers:1
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GPT-4.1
Avg Score:54.6%(+1.0%)
Providers:1