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GPT-3.5 Turbo vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 17.8% higher average benchmark score. GPT-4.1 nano offers 1.1M more tokens in context window than GPT-3.5 Turbo. GPT-4.1 nano is $1.50 cheaper per million tokens. GPT-4.1 nano supports multimodal inputs. Overall, GPT-4.1 nano is the stronger choice for coding tasks.
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OpenAI
GPT-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.
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OpenAI
GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
2 years newer
GPT-3.5 Turbo
OpenAI
2023-03-21
GPT-4.1 nano
OpenAI
2025-04-14
Pricing Comparison
Cost per million tokens (USD)
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GPT-3.5 Turbo
Input:$0.50
Output:$1.50
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GPT-4.1 nano
Input:$0.10
Output:$0.40($1.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 29 common benchmarks
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GPT-3.5 Turbo
Average Score:11.7%
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GPT-4.1 nano
Average Score:29.5%(+17.8%)
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Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
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-3.5 Turbo
2 providers
Azure
Throughput: 90 tok/s
Latency: 0.8ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
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GPT-3.5 Turbo
Avg Score:11.7%
Providers:2
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GPT-4.1 nano
Avg Score:29.5%(+17.8%)
Providers:1