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GPT-5 nano vs Magistral Small 2506
Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 12.7% higher average benchmark score. GPT-5 nano supports multimodal inputs. GPT-5 nano is available on 2 providers. Overall, GPT-5 nano is the stronger choice for coding tasks.
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OpenAI
GPT-5 Nano was developed as the most compact variant in the GPT-5 family, designed for deployment in resource-constrained environments and edge computing scenarios. Built to bring next-generation AI capabilities to devices and applications where latency and efficiency are paramount, it distills GPT-5 innovations into a minimal footprint.
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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
Magistral Small 2506
Mistral AI
2025-06-10
GPT-5 nano
OpenAI
2025-08-07
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-5 nano
Average Score:78.2%(+12.7%)
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Magistral Small 2506
Average Score:65.5%
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Knowledge Cutoff
Training data recency comparison
GPT-5 nano
2024-05-30
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-5 nano
2 providers
OpenAI
Throughput: 500 tok/s
Latency: 0.3ms
ZeroEval
Throughput: 500 tok/s
Latency: 0.3ms
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GPT-5 nano
Avg Score:78.2%(+12.7%)
Providers:2
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Magistral Small 2506
Avg Score:65.5%
Providers:0