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GPT-3.5 Turbo vs GPT-5 mini
Comprehensive side-by-side LLM comparison
GPT-5 mini leads with 51.5% higher average benchmark score. GPT-5 mini offers 507.5K more tokens in context window than GPT-3.5 Turbo. Both models have similar pricing. GPT-5 mini supports multimodal inputs. Overall, GPT-5 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-5 Mini was created as a more accessible version of GPT-5, designed to provide strong capabilities with improved efficiency and lower operational costs. Built to extend GPT-5's advancements to a broader range of applications, it balances advanced performance with practical deployment considerations.
2 years newer
GPT-3.5 Turbo
OpenAI
2023-03-21
GPT-5 mini
OpenAI
2025-08-07
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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($0.25 cheaper)
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GPT-5 mini
Input:$0.25
Output:$2.00
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-3.5 Turbo
Average Score:30.8%
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GPT-5 mini
Average Score:82.3%(+51.5%)
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Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
GPT-5 mini
2024-05-30
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:30.8%
Providers:2
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GPT-5 mini
Avg Score:82.3%(+51.5%)
Providers:2