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GPT-3.5 Turbo vs GPT-4.1
Comprehensive side-by-side LLM comparison
GPT-4.1 leads with 50.7% higher average benchmark score. GPT-4.1 offers 1.1M more tokens in context window than GPT-3.5 Turbo. GPT-3.5 Turbo is $8.00 cheaper per million tokens. GPT-4.1 supports multimodal inputs. Overall, GPT-4.1 is the stronger choice for coding tasks.
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OpenAI
GPT-3.5 Turbo was developed as an optimized version of GPT-3.5, designed to provide a balance of capability and efficiency for conversational and completion tasks. Built to serve as a cost-effective option for applications requiring reliable language understanding and generation, it became widely adopted for chatbots, content generation, and general-purpose AI assistance.
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OpenAI
GPT-4.1 represents an iterative improvement in the GPT-4 series, developed to refine the foundational capabilities established by GPT-4. Built to incorporate learnings and optimizations from the deployment of previous versions, it continues the evolution of OpenAI's flagship model line with enhanced reliability and performance.
2 years newer
GPT-3.5 Turbo
OpenAI
2023-03-21
GPT-4.1
OpenAI
2025-04-14
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Pricing Comparison
Cost per million tokens (USD)
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GPT-3.5 Turbo
Input:$0.50
Output:$1.50($8.00 cheaper)
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GPT-4.1
Input:$2.00
Output:$8.00
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-3.5 Turbo
Average Score:25.1%
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GPT-4.1
Average Score:75.9%(+50.7%)
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Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
GPT-4.1
2024-06-01
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:25.1%
Providers:2
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GPT-4.1
Avg Score:75.9%(+50.7%)
Providers:1