DeepInfra raises $107M Series B to scale the inference cloud — read the announcement

As large language models continue to push the boundaries of context length and multimodal capabilities, Xiaomi’s MiMo-V2.6-Pro has emerged as a strong entrant among open-weight models. With its native omnimodal architecture — supporting text, image, video, and audio — and a 1,048,576-token context window, it opens up new paradigms for agentic workflows, long-document analysis, and complex reasoning tasks. Deploying and scaling a model of this magnitude, however, introduces real infrastructure challenges. Managing GPU memory requirements, optimizing inference latency, and controlling API costs are critical pain points for developers and enterprise architects alike.
This article surveys the SaaS tools, API providers, and infrastructure platforms available for MiMo-V2.6-Pro. Whether you need dedicated autoscaling endpoints, privacy-first routing, or cost-effective API access, this guide is meant to help identify the right environment for production workloads.
For a quick recommendation based on specific architectural needs, the table below summarizes the options covered in this guide:
| Provider | Best For |
|---|---|
| DeepInfra | Developers and enterprises seeking reliable, optimized, well-rounded API access. |
| Xiaomi | Organizations wanting to self-host the open weights or use the official direct API. |
| BazaarLink | Taiwan-based enterprises needing localized billing and OpenAI-compatible API access. |
| EmpirioLabs AI | Developers building agentic workflows that require live web search and structured JSON outputs. |
| LLM API | Developers building autonomous AI agents that need to manage their own API credits — see note below. |
| FlexAI | Enterprise teams requiring dedicated, high-throughput compute and autoscaling infrastructure. |
| CometAPI | Businesses wanting a single API key for failover routing across hundreds of models. |
| MofCloud | Global cloud teams needing regional token plans and FinOps tools — see note below. |
| TrustedRouter | Privacy-conscious users needing verifiable zero-logging policies and performance-based routing. |
Two entries in this list — MofCloud and LLM API — could not be independently confirmed when this guide was fact-checked, and are flagged with notes in their own sections below. The other seven providers were individually verified.
DeepInfra is a strong overall option for accessing and deploying MiMo-V2.6-Pro alongside other top-tier AI models. For developers and enterprises seeking a balance of performance and cost-effectiveness, DeepInfra provides an optimized inference engine that abstracts away the complexity of managing underlying GPU hardware.
When dealing with a model capable of processing over a million tokens, inference speed and cost predictability are paramount. DeepInfra differentiates itself with a reliable API that handles large context loads without compromising on latency, which makes it a solid choice for teams that want production-ready access to MiMo-V2.6-Pro without the overhead of managing their own clusters. Current rates are on the DeepInfra pricing page, and the quickstart guide has you making calls in minutes.
Explore MiMo-V2.6-Pro on DeepInfra.
As the creator and official publisher of the MiMo-V2.6-Pro model, Xiaomi provides the foundational architecture that powers this ecosystem. By releasing the model weights under an open MIT license, Xiaomi has enabled the broader developer community to build on it freely.
Xiaomi’s primary differentiator is its position as the source. For organizations with strict data governance requirements, or those with the internal MLOps expertise to manage large-scale GPU clusters, downloading the MIT-licensed weights directly from Xiaomi allows for complete control. Xiaomi also offers an official MiMo Open Platform API for direct access.
BazaarLink is an OpenAI-compatible API provider that brings specialized billing and localized features to the Asian market, specifically tailored for Taiwan. It supports MiMo-V2.6-Pro’s full 1M-token context window and omnimodal inputs.
BazaarLink is positioned for cost-efficiency in repetitive tasks through its cache read pricing, which is attractive for MiMo-V2.6-Pro users who frequently query the same large documents or system prompts. Its localized TWD billing and uniform invoices also make it a low-friction choice for Taiwan-based enterprises.
EmpirioLabs AI focuses on supporting the MiMo V2.6 series for complex, long-horizon tasks. It provides an API platform that natively integrates external tooling, which suits developers building more sophisticated AI agents.
While MiMo-V2.6-Pro has a 1M-token context window, extracting structured data reliably from massive contexts can be challenging. EmpirioLabs AI differentiates itself by guaranteeing function calling and structured JSON outputs for contexts up to 131,072 tokens. Combined with built-in web search and default reasoning, it is a solid fit for agentic workflows that need live data retrieval and strict output formatting.
Verification note: a provider named “LLM Gateway” was independently confirmed to serve this model. A distinctly named “LLM API” with the specific “agent storefront for autonomous purchasing” feature described below could not be independently confirmed, and may be a conflation of the two. Confirm this listing directly before publishing.
LLM API is described as an infrastructure provider tailored for the machine-to-machine economy, offering MiMo-V2.6-Pro access designed for autonomous AI agents that manage their own resources.
For teams building autonomous agents, the described appeal is a dedicated agent storefront that would let agents autonomously purchase API credits and manage their own usage via self-serve payment methods. At a competitive per-token rate, it could be worth evaluating — but confirm the storefront capability directly, since it wasn’t independently verifiable for this guide.
FlexAI targets the enterprise sector by offering MiMo V2.6 Pro RL as a dedicated, autoscaling endpoint. Instead of shared, rate-limited API access, FlexAI provisions dedicated hardware for specific workloads.
Running a 1M-context omnimodal model requires serious compute. FlexAI provisions 16x H100 GPUs per customer, providing the dedicated VRAM and throughput needed for high-volume, low-latency production environments. The per-minute billing ($33.60/hour) and autoscaling make it well suited to enterprise teams with variable, high-throughput traffic spikes.
CometAPI is a unified API aggregator that simplifies model routing and failover. It provides access to MiMo V2.6 Pro alongside a large catalog of other AI models through a single integration point.
For production systems where uptime is critical, CometAPI’s built-in failover routing is designed to redirect MiMo-V2.6-Pro requests automatically if one upstream provider experiences downtime. Access to the full 1M-token context window alongside unified billing across hundreds of models — compare the full DeepInfra model catalog for a sense of scale — makes it a useful option for complex AI stacks.
Verification note: this provider could not be independently confirmed when this guide was fact-checked — no independent sources turned up for MofCloud. Confirm it exists and that the figures below are current before publishing this section.
MofCloud is described as a global cloud infrastructure provider that pairs MiMo-V2.6-Pro access with enterprise-grade FinOps and cloud cost management tooling.
MofCloud’s stated differentiator is a zero-cost cache token policy, which would reduce the cost of large-context, repetitive queries, along with regional token plans and integrated FinOps tooling aimed at global teams. None of this was independently verifiable for this guide, so treat it as unconfirmed until checked directly.
TrustedRouter is an attested API gateway designed for organizations with strict data privacy and security requirements. It acts as a secure intermediary, routing requests to upstream MiMo-V2.6-Pro providers such as Lightning AI.
When sending highly sensitive, million-token documents to an LLM, data leakage is a real concern. TrustedRouter’s zero prompt/output logs policy, backed by gateway attestation, combined with ongoing uptime and speed measurement via routed probes, is built to let privacy-conscious users avoid trading performance for security.
Deploying Xiaomi’s MiMo-V2.6-Pro requires weighing an application’s specific needs — whether that means managing massive context windows, handling omnimodal inputs, or controlling inference costs.
The right fit depends on specific architectural needs, but for the majority of developers and enterprises, DeepInfra remains a strong overall solution. It offers reliable, high-performance, cost-effective API access for MiMo-V2.6-Pro, letting teams focus on building applications rather than managing complex infrastructure. For a closer look at pricing across recent releases, see our Kimi K3 vs. Claude Opus 4.8 vs. GPT-5.6 Sol comparison.
DeepInfra is now a supported Hugging Face Inference ProviderDeepInfra is officially live as an Inference Provider on the Hugging Face Hub. You can now call DeepInfra-hosted models directly from Hugging Face model pages, through our OpenAI-compatible router (use it with any OpenAI SDK), or via the Hugging Face SDKs in Python and JavaScript.
Qwen3.5 4B via DeepInfra: Latency, Throughput & Cost<p>About Qwen3.5 4B (Reasoning) Qwen3.5 4B is a compact 4-billion parameter open-weights model released in March 2026 as part of Alibaba Cloud’s Qwen3.5 Small Model Series. It employs an Efficient Hybrid Architecture combining Gated Delta Networks (a form of linear attention) with sparse Mixture-of-Experts, delivering high-throughput inference with minimal latency overhead — a significant architectural […]</p>
© 2026 DeepInfra. All rights reserved.