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GPT-3.5 Turbo vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-vision-instruct supports multimodal inputs. GPT-3.5 Turbo is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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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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Microsoft
Phi-3.5 Vision was developed as a multimodal variant of Phi-3.5, designed to understand and reason about both images and text. Built to extend the Phi family's efficiency into vision-language tasks, it enables compact multimodal AI for practical applications.
1 year newer
GPT-3.5 Turbo
OpenAI
2023-03-21
Phi-3.5-vision-instruct
Microsoft
2024-08-23
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-3.5 Turbo
Average Score:0.0%
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Phi-3.5-vision-instruct
Average Score:43.5%(+43.5%)
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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:0.0%
Providers:2
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Phi-3.5-vision-instruct
Avg Score:43.5%(+43.5%)
Providers:0