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GPT-4 Turbo vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
GPT-4 Turbo leads with 2.0% higher average benchmark score. GPT-4.1 nano offers 948.2K more tokens in context window than GPT-4 Turbo. GPT-4.1 nano is $39.50 cheaper per million tokens. GPT-4.1 nano supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-4 Turbo was introduced as an optimized version of GPT-4, designed to provide enhanced performance with improved efficiency and an expanded context window. Built with updated knowledge and refined capabilities, it offered developers a more cost-effective way to leverage GPT-4's advanced reasoning while handling longer conversations and documents.
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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.
1 year newer
GPT-4 Turbo
OpenAI
2024-04-09
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 Turbo
Input:$10.00
Output:$30.00
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GPT-4.1 nano
Input:$0.10
Output:$0.40($39.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-4 Turbo
Average Score:67.3%(+2.0%)
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GPT-4.1 nano
Average Score:65.2%
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Knowledge Cutoff
Training data recency comparison
GPT-4 Turbo
2023-12-31
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 Turbo
2 providers
Azure
Throughput: 97 tok/s
Latency: 0.6ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
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GPT-4 Turbo
Avg Score:67.3%(+2.0%)
Providers:2
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GPT-4.1 nano
Avg Score:65.2%
Providers:1