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GPT-4.1 mini vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 21.0% higher average benchmark score. GPT-4.1 mini offers 824.3K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $1.97 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. 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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Meta
Llama 3.2 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.
6 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
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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Llama 3.2 3B Instruct
Input:$0.01
Output:$0.02($1.97 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-4.1 mini
Average Score:78.9%(+21.0%)
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Llama 3.2 3B Instruct
Average Score:57.9%
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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:78.9%(+21.0%)
Providers:2
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Llama 3.2 3B Instruct
Avg Score:57.9%
Providers:1