Looking to call DeepSeek R1 Inference API for production? This guide shows how devs and teams can deploy DeepSeek R1 at scale—cheaper & faster
DeepSeek has quickly emerged as one of the most powerful open-source AI models in the world. Combining GPT-4-level reasoning with transparent architecture and low-cost deployment, it’s redefining the standards of large language models.
But if you’re looking to integrate DeepSeek into your workflows, one question matters more than any benchmark:
Which DeepSeek inference provider is built for cost, speed, and production-grade reliability?
This guide breaks down the options, and shows why our approach stands out.
DeepSeek is a high-performance open-source AI model developed in China and now widely adopted across the global developer and enterprise ecosystem. Its release marked a turning point in the AI landscape—offering reasoning capabilities once limited to proprietary models at a significantly reduced cost.
Key strengths:
Major media outlets have recognized its impact: (NetMind has also been featured in these two articles)
This is more than a model; DeepSeek represents a shift in how cutting-edge AI can be built, shared, and deployed.
Several platforms now support DeepSeek inference, offering different levels of performance, pricing, and integration flexibility. Some of the most visible include:
Speed is nothing without affordability, and this is where NetMind truly dominates.
With an input price of just $0.50 and output price of $1.00, NetMind is the most cost-efficient solution on the market. Competitors like Fireworks ($8 output), Together.ai ($7), and CentML ($2.99) may offer similar models, but their pricing is orders of magnitude higher.
Then when it comes to output speed, measured in tokens generated per second, NetMind ranks near the top with 51 tokens/sec, second only to Together.ai’s 70. But raw output speed isn’t the full story.
While Together.ai leads on throughput, NetMind's pricing significantly undercuts Together.ai's practicality for long-term or large-scale use. In contrast, NetMind offers a high-speed experience that remains sustainable and scalable.
The takeaway? You can get nearly the same speed as Together.ai at 1/7th the cost.
We are one of several DeepSeek inference providers, but our focus is different. We’ve optimized for speed, stability, and operational flexibility.
We support:
We match or outperform major providers on inference cost without compromising throughput or reliability. You won’t find hidden markups or pricing tiers that penalize growth.
We invite comparisons. Measured side by side on performance, flexibility, and cost—we are confident in the results.
No enterprise deal or sales conversation is required. To run DeepSeek on our infrastructure,
DeepSeek has established itself as a leading model in open-source AI. The next step is choosing where and how to run it effectively.
Our infrastructure is purpose-built for developers and teams who value:
You don’t need a partnership, a dedicated cloud budget, or gated access.
You need infrastructure that works. At scale. On your terms.