Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash leads with 43.0% higher average benchmark score. Gemini 1.5 Flash offers 1.0M more tokens in context window than Gemini 1.0 Pro. Gemini 1.5 Flash is $1.25 cheaper per million tokens. Gemini 1.5 Flash supports multimodal inputs. Overall, Gemini 1.5 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 1.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.8% across 22 benchmarks. It excels particularly in XSTest (97.0%), HellaSwag (86.5%), GSM8k (86.2%). With a 1.1M 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.
2 months newer
Gemini 1.0 Pro
2024-02-15
Gemini 1.5 Flash
2024-05-01
Cost per million tokens (USD)
Gemini 1.0 Pro
Gemini 1.5 Flash
Context window and performance specifications
Average performance across 24 common benchmarks
Gemini 1.0 Pro
Gemini 1.5 Flash
Gemini 1.5 Flash
2023-11-01
Gemini 1.0 Pro
2024-02-01
Available providers and their performance metrics
Gemini 1.0 Pro
Gemini 1.5 Flash
Gemini 1.0 Pro
Gemini 1.5 Flash
Gemini 1.0 Pro
Gemini 1.5 Flash