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Gemini 2.0 Flash Thinking vs GPT-3.5 Turbo
Comprehensive side-by-side LLM comparison
GPT-3.5 Turbo leads with 12.8% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. GPT-3.5 Turbo is available on 2 providers. Overall, GPT-3.5 Turbo is the stronger choice for coding tasks.
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Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
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OpenAI
GPT-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.
1 year newer
GPT-3.5 Turbo
OpenAI
2023-03-21
Gemini 2.0 Flash Thinking
2025-01-21
Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:24.8%
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GPT-3.5 Turbo
Average Score:37.6%(+12.8%)
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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:24.8%
Providers:0
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GPT-3.5 Turbo
Avg Score:37.6%(+12.8%)
Providers:2