Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 35.3% higher average benchmark score. Gemini 2.5 Pro offers 1.1M more tokens in context window than GPT-3.5 Turbo. GPT-3.5 Turbo is $9.25 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Overall, Gemini 2.5 Pro is the stronger choice for coding tasks.
Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 69.6% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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.
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.
2 years newer
GPT-3.5 Turbo
OpenAI
2023-03-21
Gemini 2.5 Pro
2025-05-20
Cost per million tokens (USD)
Gemini 2.5 Pro
GPT-3.5 Turbo
Context window and performance specifications
Average performance across 22 common benchmarks
Gemini 2.5 Pro
GPT-3.5 Turbo
GPT-3.5 Turbo
2021-09-30
Gemini 2.5 Pro
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro
ZeroEval
Gemini 2.5 Pro
GPT-3.5 Turbo
Gemini 2.5 Pro
GPT-3.5 Turbo
GPT-3.5 Turbo
Azure
OpenAI