Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash-Lite leads with 36.7% higher average benchmark score. Gemini 2.5 Flash-Lite offers 858.1K more tokens in context window than Devstral Small 1.1. Both models have similar pricing. Gemini 2.5 Flash-Lite supports multimodal inputs. Overall, Gemini 2.5 Flash-Lite is the stronger choice for coding tasks.
Mistral AI
Devstral Small 1.1 is a language model developed by Mistral AI. The model shows competitive results across 1 benchmarks. Notable strengths include SWE-Bench Verified (53.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). 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 2025, it represents Google's latest advancement in AI technology.
24 days newer
Gemini 2.5 Flash-Lite
2025-06-17
Devstral Small 1.1
Mistral AI
2025-07-11
Cost per million tokens (USD)
Devstral Small 1.1
Gemini 2.5 Flash-Lite
Context window and performance specifications
Average performance across 13 common benchmarks
Devstral Small 1.1
Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite
2025-01-01
Available providers and their performance metrics
Devstral Small 1.1
Mistral AI
Gemini 2.5 Flash-Lite
Devstral Small 1.1
Gemini 2.5 Flash-Lite
Devstral Small 1.1
Gemini 2.5 Flash-Lite