Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 29.5% higher average benchmark score. Gemini 2.5 Pro offers 1.1M more tokens in context window than Gemini 1.0 Pro. Gemini 1.0 Pro 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 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.
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.
1 year newer
Gemini 1.0 Pro
2024-02-15
Gemini 2.5 Pro
2025-05-20
Cost per million tokens (USD)
Gemini 1.0 Pro
Gemini 2.5 Pro
Context window and performance specifications
Average performance across 23 common benchmarks
Gemini 1.0 Pro
Gemini 2.5 Pro
Gemini 1.0 Pro
2024-02-01
Gemini 2.5 Pro
2025-01-31
Available providers and their performance metrics
Gemini 1.0 Pro
Gemini 2.5 Pro
Gemini 1.0 Pro
Gemini 2.5 Pro
Gemini 1.0 Pro
Gemini 2.5 Pro
ZeroEval