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GPT-4.1 mini vs Nova Micro
Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 10.6% higher average benchmark score. GPT-4.1 mini offers 824.3K more tokens in context window than Nova Micro. Nova Micro is $1.83 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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Amazon
Amazon Nova Micro was created as an ultra-compact multimodal model, designed for deployment in resource-constrained environments. Built to bring text and image understanding to edge devices and latency-sensitive applications, it extends Amazon's AI capabilities to minimal footprint scenarios.
4 months newer
Nova Micro
Amazon
2024-11-20
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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Nova Micro
Input:$0.03
Output:$0.14($1.83 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%(+10.6%)
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Nova Micro
Average Score:68.3%
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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:78.9%(+10.6%)
Providers:2
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Nova Micro
Avg Score:68.3%
Providers:1