+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GPT-4.1 nano vs Magistral Small 2506
Comprehensive side-by-side LLM comparison
Magistral Small 2506 leads with 29.6% higher average benchmark score. GPT-4.1 nano supports multimodal inputs. Overall, Magistral Small 2506 is the stronger choice for coding tasks.
+
+
+
+
OpenAI
GPT-4.1 Nano was developed as the smallest and most efficient variant in the GPT-4.1 family, designed for applications requiring minimal latency and resource usage. Built to enable AI capabilities on edge devices and resource-constrained environments, it distills GPT-4.1 capabilities into an ultra-compact form factor.
+
+
+
+
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 nano
OpenAI
2025-04-14
Magistral Small 2506
Mistral AI
2025-06-10
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
GPT-4.1 nano
Average Score:39.8%
+
+
+
+
Magistral Small 2506
Average Score:69.4%(+29.6%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
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
+
+
+
+
GPT-4.1 nano
1 providers
OpenAI
Throughput: 200 tok/s
Latency: 2ms
+
+
+
+
Magistral Small 2506
+
+
+
+
GPT-4.1 nano
Avg Score:39.8%
Providers:1
+
+
+
+
Magistral Small 2506
Avg Score:69.4%(+29.6%)
Providers:0