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GPT-5 nano vs Magistral Small 2506
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. GPT-5 nano supports multimodal inputs. GPT-5 nano is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
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Mistral AI
Magistral Small 2506 is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.2% across 4 benchmarks. Notable strengths include AIME 2024 (70.7%), GPQA (68.2%), AIME 2025 (62.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
1 month newer
Magistral Small 2506
Mistral AI
2025-06-10
GPT-5 nano
OpenAI
2025-08-07
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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GPT-5 nano
Average Score:35.8%
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Magistral Small 2506
Average Score:36.1%(+0.4%)
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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:35.8%
Providers:2
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Magistral Small 2506
Avg Score:36.1%(+0.4%)
Providers:0