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Gemini 2.0 Flash Thinking vs GPT-3.5 Turbo
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash Thinking leads with 59.4% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. GPT-3.5 Turbo is available on 2 providers. Overall, Gemini 2.0 Flash Thinking is the stronger choice for coding tasks.
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Gemini 2.0 Flash Thinking was developed to incorporate extended reasoning capabilities into the Flash family, designed to combine quick response times with deeper analytical processing. Built to handle tasks requiring both speed and thoughtful problem-solving, it bridges the gap between fast inference and reasoning-enhanced models.
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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.
1 year newer
GPT-3.5 Turbo
OpenAI
2023-03-21
Gemini 2.0 Flash Thinking
2025-01-21
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:74.8%(+59.4%)
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GPT-3.5 Turbo
Average Score:15.4%
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Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
Gemini 2.0 Flash Thinking
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 2.0 Flash Thinking
0 providers
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GPT-3.5 Turbo
2 providers
Azure
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Gemini 2.0 Flash Thinking
Avg Score:74.8%(+59.4%)
Providers:0
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GPT-3.5 Turbo
Avg Score:15.4%
Providers:2