Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 67.0% higher average benchmark score. Gemini 1.5 Pro offers 1.8M more tokens in context window than Devstral Medium. Devstral Medium is $10.10 cheaper per million tokens. Gemini 1.5 Pro supports multimodal inputs. Overall, Gemini 1.5 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 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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.
1 year newer
Gemini 1.5 Pro
2024-05-01
Devstral Medium
Mistral AI
2025-07-10
Cost per million tokens (USD)
Devstral Medium
Gemini 1.5 Pro
Context window and performance specifications
Average performance across 24 common benchmarks
Devstral Medium
Gemini 1.5 Pro
Gemini 1.5 Pro
2023-11-01
Available providers and their performance metrics
Devstral Medium
Mistral AI
Gemini 1.5 Pro
Devstral Medium
Gemini 1.5 Pro
Devstral Medium
Gemini 1.5 Pro