Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 66.3% higher average benchmark score. Gemini 2.5 Pro offers 858.1K more tokens in context window than Devstral Small 1.1. Devstral Small 1.1 is $10.85 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Overall, Gemini 2.5 Pro 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 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 69.6% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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.
1 month newer
Gemini 2.5 Pro
2025-05-20
Devstral Small 1.1
Mistral AI
2025-07-11
Cost per million tokens (USD)
Devstral Small 1.1
Gemini 2.5 Pro
Context window and performance specifications
Average performance across 16 common benchmarks
Devstral Small 1.1
Gemini 2.5 Pro
Gemini 2.5 Pro
2025-01-31
Available providers and their performance metrics
Devstral Small 1.1
Mistral AI
Gemini 2.5 Pro
Devstral Small 1.1
Gemini 2.5 Pro
Devstral Small 1.1
Gemini 2.5 Pro
ZeroEval