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Gemini 1.5 Pro vs GPT-3.5 Turbo
Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 57.9% higher average benchmark score. Gemini 1.5 Pro offers 2.1M more tokens in context window than GPT-3.5 Turbo. GPT-3.5 Turbo is $10.50 cheaper per million tokens. Gemini 1.5 Pro supports multimodal inputs. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
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Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, 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 1.5 Pro
2024-05-01
Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.5 Pro
Input:$2.50
Output:$10.00
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GPT-3.5 Turbo
Input:$0.50
Output:$1.50($10.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 23 common benchmarks
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Gemini 1.5 Pro
Average Score:72.6%(+57.9%)
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GPT-3.5 Turbo
Average Score:14.7%
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Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
Gemini 1.5 Pro
2023-11-01
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 1.5 Pro
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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GPT-3.5 Turbo
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Gemini 1.5 Pro
Avg Score:72.6%(+57.9%)
Providers:1
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GPT-3.5 Turbo
Avg Score:14.7%
Providers:2