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GPT-5 nano vs Mistral Small 3 24B Base
Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 36.8% higher average benchmark score. 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
Mistral Small 24B Base was developed as a 24-billion-parameter foundation model, designed to serve as a base for fine-tuning and customization. Built to provide a strong starting point for domain-specific applications, it represents an intermediate-scale option in Mistral's model lineup.
6 months newer
Mistral Small 3 24B Base
Mistral AI
2025-01-30
GPT-5 nano
OpenAI
2025-08-07
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-5 nano
Average Score:71.2%(+36.8%)
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Mistral Small 3 24B Base
Average Score:34.4%
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Base
2023-10-01
GPT-5 nano
2024-05-30
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:71.2%(+36.8%)
Providers:2
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Mistral Small 3 24B Base
Avg Score:34.4%
Providers:0