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GPT-3.5 Turbo vs Nova Pro
Comprehensive side-by-side LLM comparison
Nova Pro leads with 27.3% higher average benchmark score. Nova Pro offers 579.5K more tokens in context window than GPT-3.5 Turbo. GPT-3.5 Turbo is $2.00 cheaper per million tokens. Nova Pro supports multimodal inputs. Overall, Nova Pro 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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Amazon
Amazon Nova Pro was developed as the flagship model in the Nova family, designed to provide advanced multimodal understanding across text, images, and other modalities. Built to handle complex tasks requiring sophisticated reasoning, it represents Amazon's most capable offering for enterprise applications.
1 year newer
GPT-3.5 Turbo
OpenAI
2023-03-21
Nova Pro
Amazon
2024-11-20
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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($2.00 cheaper)
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Nova Pro
Input:$0.80
Output:$3.20
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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GPT-3.5 Turbo
Average Score:47.0%
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Nova Pro
Average Score:74.3%(+27.3%)
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Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
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:47.0%
Providers:2
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Nova Pro
Avg Score:74.3%(+27.3%)
Providers:1