Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash leads with 58.1% higher average benchmark score. Gemini 2.0 Flash offers 800.8K more tokens in context window than Devstral Small 1.1. Both models have similar pricing. Gemini 2.0 Flash supports multimodal inputs. Overall, Gemini 2.0 Flash 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 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). 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.
7 months newer
Gemini 2.0 Flash
2024-12-01
Devstral Small 1.1
Mistral AI
2025-07-11
Cost per million tokens (USD)
Devstral Small 1.1
Gemini 2.0 Flash
Context window and performance specifications
Average performance across 14 common benchmarks
Devstral Small 1.1
Gemini 2.0 Flash
Gemini 2.0 Flash
2024-08-01
Available providers and their performance metrics
Devstral Small 1.1
Mistral AI
Gemini 2.0 Flash
Devstral Small 1.1
Gemini 2.0 Flash
Devstral Small 1.1
Gemini 2.0 Flash