Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 57.9% higher average benchmark score. Gemma 3 12B offers 6.1K more tokens in context window than Devstral Medium. Gemma 3 12B is $2.25 cheaper per million tokens. Gemma 3 12B supports multimodal inputs. Overall, Gemma 3 12B 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.
Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
4 months newer
Gemma 3 12B
2025-03-12
Devstral Medium
Mistral AI
2025-07-10
Cost per million tokens (USD)
Devstral Medium
Gemma 3 12B
Context window and performance specifications
Average performance across 27 common benchmarks
Devstral Medium
Gemma 3 12B
Available providers and their performance metrics
Devstral Medium
Mistral AI
Gemma 3 12B
Devstral Medium
Gemma 3 12B
Devstral Medium
Gemma 3 12B
DeepInfra