Mistral AI surprises the technology industry with a powerful AI model that redefines the economics of business solutions. The new Mistral Medium 3 achieves over 90% of the performance of Claude Sonnet 3.7, but costs only an eighth to operate.
With a price of 0.40 dollars per million input tokens and 2 dollars per million output tokens, Mistral Medium 3 positions itself as a cost-effective alternative to established models such as Claude 3.7 and GPT-4o. The model supports a 128K token context window and is particularly suitable for code development, STEM tasks and multimodal applications. The benchmark results are impressive: In the HumanEval 0-shot test, it achieves 0.921 and thus corresponds to Claude Sonnet 3.7, while in Math500 Instruct it even outperforms GPT-4o (0.764) with 0.910.
The cost efficiency of the model enables medium-sized companies to make considerable savings. A company processing 10 million tokens per month could reduce costs from $180,000 (with Claude) to just $24,000 – a saving of 86%. This democratizes access to AI for industries such as healthcare and financial services, where data volumes are growing exponentially.
For organizations, Mistral Medium 3 offers important compliance benefits. As the first major EU-based model, it complies with both the GDPR and the EU AI Act, making it a preferred choice for European organizations. Data localization within European data centers, transparent logging and built-in safeguards against biased spending underline the model’s regulatory suitability.
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Summary:
Mistral Medium 3 offers top performance at a drastically reduced cost – 8 times cheaper than comparable models with similar performance
The model outperforms leading competitors in code development and mathematical reasoning with impressive benchmark results
Full GDPR and EU AI Act compliance makes it ideal for regulated industries and European enterprises
Hybrid deployment options enable local installations on minimal hardware (four GPUs)
Partnerships with Microsoft Azure, AWS SageMaker and Google Cloud facilitate implementation in existing infrastructures
