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GPT-4.1 nano vs Ministral 8B Instruct
Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 15.1% higher average benchmark score. GPT-4.1 nano offers 824.3K more tokens in context window than Ministral 8B Instruct. Both models have similar pricing. GPT-4.1 nano supports multimodal inputs. Overall, GPT-4.1 nano is the stronger choice for coding tasks.
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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.
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Mistral AI
Ministral 8B was developed as a compact yet capable model from Mistral AI, designed to provide strong instruction-following with just 8 billion parameters. Built for applications requiring efficient deployment while maintaining reliable performance, it represents Mistral's smallest production-ready offering.
6 months newer
Ministral 8B Instruct
Mistral AI
2024-10-16
GPT-4.1 nano
OpenAI
2025-04-14
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4.1 nano
Input:$0.10
Output:$0.40
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Ministral 8B Instruct
Input:$0.10
Output:$0.10($0.30 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-4.1 nano
Average Score:80.1%(+15.1%)
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Ministral 8B Instruct
Average Score:65.0%
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
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-4.1 nano
1 providers
OpenAI
Throughput: 200 tok/s
Latency: 2ms
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Ministral 8B Instruct
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GPT-4.1 nano
Avg Score:80.1%(+15.1%)
Providers:1
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Ministral 8B Instruct
Avg Score:65.0%
Providers:1