Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 65.8% higher average benchmark score. Gemini 2.5 Pro offers 858.1K more tokens in context window than Devstral Medium. Devstral Medium is $8.85 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 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 2.5 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 Medium
Mistral AI
2025-07-10
Cost per million tokens (USD)
Devstral Medium
Gemini 2.5 Pro
Context window and performance specifications
Average performance across 16 common benchmarks
Devstral Medium
Gemini 2.5 Pro
Gemini 2.5 Pro
2025-01-31
Available providers and their performance metrics
Devstral Medium
Mistral AI
Gemini 2.5 Pro
Devstral Medium
Gemini 2.5 Pro
Devstral Medium
Gemini 2.5 Pro
ZeroEval