Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash-Lite leads with 50.4% higher average benchmark score. Gemini 2.0 Flash-Lite offers 800.8K more tokens in context window than Devstral Medium. Gemini 2.0 Flash-Lite is $2.03 cheaper per million tokens. Gemini 2.0 Flash-Lite supports multimodal inputs. Overall, Gemini 2.0 Flash-Lite is the stronger choice for coding tasks.
Mistral AI
Devstral Medium is a language model developed by Mistral AI. It achieves strong performance with an average score of 61.6% across 1 benchmarks. Notable strengths include SWE-Bench Verified (61.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). 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 2025, it represents Google's latest advancement in AI technology.
5 months newer
Gemini 2.0 Flash-Lite
2025-02-05
Devstral Medium
Mistral AI
2025-07-10
Cost per million tokens (USD)
Devstral Medium
Gemini 2.0 Flash-Lite
Context window and performance specifications
Average performance across 14 common benchmarks
Devstral Medium
Gemini 2.0 Flash-Lite
Gemini 2.0 Flash-Lite
2024-06-01
Available providers and their performance metrics
Devstral Medium
Mistral AI
Gemini 2.0 Flash-Lite
Devstral Medium
Gemini 2.0 Flash-Lite
Devstral Medium
Gemini 2.0 Flash-Lite