Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash 8B leads with 21.9% higher average benchmark score. Gemini 1.5 Flash 8B offers 1.0M more tokens in context window than Gemini 1.0 Pro. Gemini 1.5 Flash 8B is $1.63 cheaper per million tokens. Gemini 1.5 Flash 8B supports multimodal inputs. Overall, Gemini 1.5 Flash 8B 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 8B is a multimodal language model developed by Google. It achieves strong performance with an average score of 60.5% across 13 benchmarks. It excels particularly in XSTest (92.6%), FLEURS (86.4%), Natural2Code (75.5%). 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.
29 days newer
Gemini 1.0 Pro
2024-02-15
Gemini 1.5 Flash 8B
2024-03-15
Cost per million tokens (USD)
Gemini 1.0 Pro
Gemini 1.5 Flash 8B
Context window and performance specifications
Average performance across 16 common benchmarks
Gemini 1.0 Pro
Gemini 1.5 Flash 8B
Gemini 1.0 Pro
2024-02-01
Gemini 1.5 Flash 8B
2024-10-01
Available providers and their performance metrics
Gemini 1.0 Pro
Gemini 1.5 Flash 8B
Gemini 1.0 Pro
Gemini 1.5 Flash 8B
Gemini 1.0 Pro
Gemini 1.5 Flash 8B