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GPT-4.1 nano vs Mistral Large 2
Comprehensive side-by-side LLM comparison
Mistral Large 2 leads with 3.9% higher average benchmark score. GPT-4.1 nano offers 824.3K more tokens in context window than Mistral Large 2. GPT-4.1 nano is $7.50 cheaper per million tokens. 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 Large 2 was introduced as the second generation of Mistral's flagship model, designed to provide frontier-level capabilities across diverse language tasks. Built with enhanced reasoning, coding, and multilingual abilities, it represents Mistral's most advanced offering for enterprise and demanding applications.
8 months newer
Mistral Large 2
Mistral AI
2024-07-24
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($7.50 cheaper)
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Mistral Large 2
Input:$2.00
Output:$6.00
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%
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Mistral Large 2
Average Score:84.0%(+3.9%)
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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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Mistral Large 2
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GPT-4.1 nano
Avg Score:80.1%
Providers:1
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Mistral Large 2
Avg Score:84.0%(+3.9%)
Providers:2