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GPT-4.1 nano vs Pixtral-12B
Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 6.3% higher average benchmark score. GPT-4.1 nano offers 944.2K more tokens in context window than Pixtral-12B. Both models have similar pricing. 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
Pixtral 12B was introduced as Mistral's multimodal vision-language model, designed to understand and reason about both images and text. Built with 12 billion parameters for integrated visual and textual processing, it extends Mistral's capabilities into multimodal applications.
6 months newer
Pixtral-12B
Mistral AI
2024-09-17
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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Pixtral-12B
Input:$0.15
Output:$0.15($0.20 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-4.1 nano
Average Score:66.5%(+6.3%)
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Pixtral-12B
Average Score:60.3%
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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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Pixtral-12B
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GPT-4.1 nano
Avg Score:66.5%(+6.3%)
Providers:1
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Pixtral-12B
Avg Score:60.3%
Providers:1