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GPT-4.1 nano vs Mistral Small 3 24B Instruct
Comprehensive side-by-side LLM comparison
Mistral Small 3 24B Instruct leads with 1.7% higher average benchmark score. GPT-4.1 nano offers 1.0M more tokens in context window than Mistral Small 3 24B Instruct. Both models have similar pricing. GPT-4.1 nano supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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
Mistral Small 24B Instruct was created as the instruction-tuned version of the 24B base model, designed to follow user instructions reliably. Built to serve general-purpose applications requiring moderate capability, it balances performance with deployment practicality.
2 months newer
Mistral Small 3 24B Instruct
Mistral AI
2025-01-30
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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Mistral Small 3 24B Instruct
Input:$0.07
Output:$0.14($0.29 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-4.1 nano
Average Score:62.4%
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Mistral Small 3 24B Instruct
Average Score:64.1%(+1.7%)
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Instruct
2023-10-01
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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Mistral Small 3 24B Instruct
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GPT-4.1 nano
Avg Score:62.4%
Providers:1
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Mistral Small 3 24B Instruct
Avg Score:64.1%(+1.7%)
Providers:2