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GPT-4.1 mini vs Llama 3.2 90B Instruct
Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 12.0% higher average benchmark score. GPT-4.1 mini offers 824.3K more tokens in context window than Llama 3.2 90B Instruct. Llama 3.2 90B Instruct is $1.25 cheaper per million tokens. Llama 3.2 90B Instruct is available on 5 providers. 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 90B was developed as a flagship-tier open-source model, designed to provide advanced capabilities with 90 billion parameters. Built to serve applications requiring high-quality reasoning and generation, it represents a powerful option within the Llama 3.2 series for demanding tasks.
6 months newer
Llama 3.2 90B 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 90B Instruct
Input:$0.35
Output:$0.40($1.25 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-4.1 mini
Average Score:74.6%(+12.0%)
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Llama 3.2 90B Instruct
Average Score:62.6%
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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:74.6%(+12.0%)
Providers:2
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Llama 3.2 90B Instruct
Avg Score:62.6%
Providers:5