Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash leads with 58.1% higher average benchmark score. Gemini 2.5 Flash offers 858.1K more tokens in context window than Devstral Medium. Both models have similar pricing. Gemini 2.5 Flash supports multimodal inputs. Overall, Gemini 2.5 Flash 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 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). 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 Flash
2025-05-20
Devstral Medium
Mistral AI
2025-07-10
Cost per million tokens (USD)
Devstral Medium
Gemini 2.5 Flash
Context window and performance specifications
Average performance across 14 common benchmarks
Devstral Medium
Gemini 2.5 Flash
Gemini 2.5 Flash
2025-01-31
Available providers and their performance metrics
Devstral Medium
Mistral AI
Gemini 2.5 Flash
Devstral Medium
Gemini 2.5 Flash
Devstral Medium
Gemini 2.5 Flash
ZeroEval