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Magistral Small 2506 vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 22.0% higher average benchmark score. o4-mini supports multimodal inputs. Overall, o4-mini is the stronger choice for coding tasks.
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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.
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OpenAI
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
1 month newer
o4-mini
OpenAI
2025-04-16
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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Magistral Small 2506
Average Score:67.2%
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o4-mini
Average Score:89.2%(+22.0%)
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Knowledge Cutoff
Training data recency comparison
o4-mini
2024-05-31
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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Magistral Small 2506
0 providers
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o4-mini
1 providers
OpenAI
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Magistral Small 2506
Avg Score:67.2%
Providers:0
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o4-mini
Avg Score:89.2%(+22.0%)
Providers:1