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GPT-3.5 Turbo vs GPT-4.1 mini
Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 49.4% higher average benchmark score. GPT-4.1 mini offers 1.1M more tokens in context window than GPT-3.5 Turbo. Both models have similar pricing. 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-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 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.
2 years newer
GPT-3.5 Turbo
OpenAI
2023-03-21
GPT-4.1 mini
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
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GPT-4.1 mini
Input:$0.40
Output:$1.60
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 mini
Average Score:74.6%(+49.4%)
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Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
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-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 mini
Avg Score:74.6%(+49.4%)
Providers:2