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GPT-4.1 vs Magistral Small 2506
Comprehensive side-by-side LLM comparison
Magistral Small 2506 leads with 13.6% higher average benchmark score. GPT-4.1 supports multimodal inputs. Overall, Magistral Small 2506 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
Magistral Small was created as an efficient reasoning-focused variant, designed to bring analytical capabilities to applications with tighter resource constraints. Built to balance problem-solving depth with practical deployment needs, it extends reasoning-enhanced AI to broader use cases.
1 month newer
GPT-4.1
OpenAI
2025-04-14
Magistral Small 2506
Mistral AI
2025-06-10
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-4.1
Average Score:53.6%
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Magistral Small 2506
Average Score:67.2%(+13.6%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1
2024-06-01
Magistral Small 2506
2025-06-01
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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Magistral Small 2506
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GPT-4.1
Avg Score:53.6%
Providers:1
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Magistral Small 2506
Avg Score:67.2%(+13.6%)
Providers:0