Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash-Lite leads with 10.7% higher average benchmark score. Gemini 2.0 Flash-Lite offers 992.8K more tokens in context window than Mistral Small 3 24B Instruct. Both models have similar pricing. Gemini 2.0 Flash-Lite supports multimodal inputs. Overall, Gemini 2.0 Flash-Lite is the stronger choice for coding tasks.
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.
Mistral AI
Mistral Small 3 24B Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 71.7% across 8 benchmarks. It excels particularly in Arena Hard (87.6%), HumanEval (84.8%), MT-Bench (83.5%). The model is available through 2 API providers. 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.
6 days newer
Mistral Small 3 24B Instruct
Mistral AI
2025-01-30
Gemini 2.0 Flash-Lite
2025-02-05
Cost per million tokens (USD)
Gemini 2.0 Flash-Lite
Mistral Small 3 24B Instruct
Context window and performance specifications
Average performance across 18 common benchmarks
Gemini 2.0 Flash-Lite
Mistral Small 3 24B Instruct
Mistral Small 3 24B Instruct
2023-10-01
Gemini 2.0 Flash-Lite
2024-06-01
Available providers and their performance metrics
Gemini 2.0 Flash-Lite
Mistral Small 3 24B Instruct
Gemini 2.0 Flash-Lite
Mistral Small 3 24B Instruct
Gemini 2.0 Flash-Lite
Mistral Small 3 24B Instruct
DeepInfra
Mistral AI