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Mistral AI Launches Medium 3: A Frontier Model with Multimodal Power and 8x Lower Cost

3 min read Mistral AI just launched Medium 3—a multimodal model with top-tier performance, 8x lower cost, and full enterprise deployability. It outperforms Llama 4 Maverick and rivals Claude Sonnet 3.7, making it one of 2025’s most serious contenders. May 07, 2025 16:10 Mistral AI Launches Medium 3: A Frontier Model with Multimodal Power and 8x Lower Cost



Mistral AI Launches Medium 3: A Frontier Model with Multimodal Power and 8x Lower Cost

 Mistral AI has officially unveiled Mistral Medium 3, its latest multimodal AI model, designed to deliver state-of-the-art (SOTA) performance at a fraction of the cost. This new release is part of Mistral’s ongoing mission to combine cutting-edge AI capabilities with real-world deployability for enterprise use.


The Highlights

  • A New Class of Models: Mistral Medium 3 strikes a balance between performance, cost, and ease of deployment—specifically tailored for enterprise environments.

  • Multimodal & Coding-Ready: It excels in complex tasks like function-calling and code generation, and performs strongly on multimodal understanding.

  • Enterprise-First Architecture: Designed for flexible deployment—on-premises, in VPCs, or hybrid setups. It also supports custom post-training and seamless integration with existing enterprise tools.


Benchmark Performance

Mistral Medium 3 doesn’t just promise—it delivers:

  • 90%+ performance of Claude Sonnet 3.7, at significantly lower cost ($0.40 input / $2 output per million tokens)

  • Outperforms open models like Llama 4 Maverick and even premium enterprise models such as Cohere Command R+

  • Surpasses budget leaders like DeepSeek V3 in both API and self-hosted pricing

It can run efficiently on self-hosted environments with just four GPUs, making high performance accessible without massive infrastructure.


Human Evaluations & Real-World Use

Beyond synthetic benchmarks, human evaluations show that Mistral Medium 3 stands out—especially in STEM and coding tasks, where it competes with far larger and slower models. Real-world testing confirms its value across customer service, data analysis, and personalized enterprise workflows.


Built for Enterprise Integration

What sets Mistral Medium 3 apart is its full-stack enterprise readiness.
Organizations can:

  • Continuously pretrain and fine-tune the model

  • Plug it directly into internal knowledge systems

  • Adapt it to domain-specific workflows

Early adopters in finance, healthcare, and energy are already leveraging the model to transform customer interactions and accelerate internal automation.


Available Now

Mistral Medium 3 is available via:

  • Mistral La Plateforme

  • Amazon SageMaker
    Coming soon to:

  • IBM WatsonX

  • NVIDIA NIM

  • Azure AI Foundry

  • Google Cloud Vertex

For custom deployments or enterprise use, Mistral invites teams to get in touch directly.


And One More Thing...

With Mistral Small launched in March and Medium now released, it's clear something large is coming soon. If Medium outperforms today’s open-source leaders, expectations are high for what Mistral has planned next.





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