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GPT-4.1 mini vs Pixtral-12B
Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 19.1% higher average benchmark score. GPT-4.1 mini offers 944.2K more tokens in context window than Pixtral-12B. Pixtral-12B is $1.70 cheaper per million tokens. Overall, GPT-4.1 mini is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 Mini was created as a smaller, more efficient variant of GPT-4.1, designed to provide strong capabilities with reduced computational requirements. Built to serve applications where speed and cost are priorities while maintaining solid performance, it extends the GPT-4.1 capabilities to resource-conscious deployments.
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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 mini
OpenAI
2025-04-14
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4.1 mini
Input:$0.40
Output:$1.60
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Pixtral-12B
Input:$0.15
Output:$0.15($1.70 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-4.1 mini
Average Score:79.3%(+19.1%)
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Pixtral-12B
Average Score:60.3%
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 mini
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 mini
2 providers
OpenAI
Throughput: 150 tok/s
Latency: 5ms
ZeroEval
Throughput: 150 tok/s
Latency: 5ms
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GPT-4.1 mini
Avg Score:79.3%(+19.1%)
Providers:2
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Pixtral-12B
Avg Score:60.3%
Providers:1