Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash leads with 20.9% higher average benchmark score. Gemini 2.5 Flash offers 1.1M more tokens in context window than Gemini 1.0 Pro. Gemini 1.0 Pro is $0.80 cheaper per million tokens. Gemini 2.5 Flash supports multimodal inputs. Overall, Gemini 2.5 Flash 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 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). 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 Flash
2025-05-20
Cost per million tokens (USD)
Gemini 1.0 Pro
Gemini 2.5 Flash
Context window and performance specifications
Average performance across 21 common benchmarks
Gemini 1.0 Pro
Gemini 2.5 Flash
Gemini 1.0 Pro
2024-02-01
Gemini 2.5 Flash
2025-01-31
Available providers and their performance metrics
Gemini 1.0 Pro
Gemini 2.5 Flash
Gemini 1.0 Pro
Gemini 2.5 Flash
Gemini 1.0 Pro
Gemini 2.5 Flash
ZeroEval