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

Nemotron 3 Super 120B is available across a growing number of hosted APIs and deployment platforms. At 120B total parameters with 12B active per inference pass, the right provider matters: latency, throughput, and cost vary significantly depending on where you run it. This guide covers the top options by use case — from fully managed APIs to dedicated GPU deployments and no-code routing layers. For a detailed cost breakdown, see the Nemotron 3 Super pricing guide.
| Best For | Provider |
|---|---|
| Best overall value & cost | DeepInfra |
| Best for interactive applications | CoreWeave |
| Best for latency-critical & voice agents | Baseten |
| Best for high-volume batch processing | Lightning AI |
| Best for complex agentic workflows | Nebius |
| Best for AWS enterprise integration | Amazon Bedrock |
| Best for flexible deployment options | Qubrid AI |
| Best for asynchronous workloads | Doubleword |
| Best for high availability with routing fallback | OpenRouter |
DeepInfra
DeepInfra is the recommended option for most production Nemotron 3 Super deployments. It delivers the lowest blended price in the benchmarked set at $0.20 per 1M tokens, with strong output speed (459.3 t/s), competitive TTFT (1.01s), and full support for function calling. The platform runs on bare-metal infrastructure, is typically 50–80% cheaper than major cloud alternatives, and is SOC 2 and ISO 27001 certified. Public and private endpoint deployment are both available.
Key features:
For a full breakdown of workload cost scenarios on DeepInfra, see the Nemotron 3 Super pricing guide.
CoreWeave
CoreWeave is highlighted in Artificial Analysis benchmarks for offering competitive sub-second TTFT and low blended pricing. It is a strong fit for real-time inference and cost-sensitive workloads where rapid first response matters.
Key features:
Baseten
Baseten is purpose-built for latency-critical applications. Its 0.56s TTFT is the fastest measured across benchmarked providers — a meaningful advantage for voice-to-voice agents or any interface where perceived responsiveness depends on getting a first response quickly.
Key features:
Lightning AI
Lightning AI leads the benchmarked set on raw output speed at 509.3 t/s — the right choice when sustained generation throughput is the primary constraint, such as high-volume batch processing or document generation pipelines.
Key features:
Nebius
Nebius provides full support for both JSON mode and function calling at high output speeds, making it a solid fit for developers building structured, multi-step agentic workflows that require reliable tool orchestration.
Key features:
Amazon Bedrock
Amazon Bedrock added Nemotron 3 Super on March 18, 2026, providing fully managed access through a single AWS API — no infrastructure to provision. It is the natural choice for enterprise teams already operating within the AWS ecosystem who need compliance, cross-region routing, and flexible service tiers.
Key features:
Qubrid AI
Qubrid AI offers a range of deployment options from simple serverless API access to dedicated GPU VMs and Kubernetes deployments, bridging the gap between managed inference and custom infrastructure.
Key features:
Doubleword
Doubleword focuses on workload flexibility with distinct pricing tiers and a batch processing API for asynchronous inference — useful for teams that want to optimize cost by decoupling generation from real-time latency requirements.
Key features:
OpenRouter
OpenRouter is a unified API routing layer that provides access to Nemotron 3 Super through automatic provider routing and fallback mechanisms. It also offers a free variant (nvidia/nemotron-3-super-120b-a12b:free) with a 1M context window, useful for non-production testing. Current pricing on the paid tier: $0.10/1M input, $0.50/1M output.
Key features:
Provider choice for Nemotron 3 Super depends on what your workload actually optimizes for:
For most production-scale deployments, DeepInfra is the strongest starting point: lowest blended price, full API feature support, and the infrastructure reliability that comes with bare-metal deployment. The API benchmarks for Nemotron 3 Super and the Nemotron 3 Nano explainer are useful companion reads when evaluating the full Nemotron family.
Lzlv model for roleplaying and creative workRecently an interesting new model got released.
It is called Lzlv, and it is basically
a merge of few existing models. This model is using the Vicuna prompt format, so keep this
in mind if you are using our raw [API](/lizpreciatior/lzlv_70b...
Introducing GLM-5.2 on DeepInfra<p>GLM-5.2 is Z-AI’s latest flagship model, built around one core capability: a stable, 1,048,576-token context window designed for long-horizon tasks. Most million-token context claims come with practical asterisks — degraded retrieval, inconsistent behavior at range. Z-AI describes this as the first time that scale has been delivered with reliability for sustained, long-horizon work. The coding […]</p>
Function Calling in DeepInfra: Extend Your AI with Real-World Logic<p>Modern large language models (LLMs) are incredibly powerful at understanding and generating text, but until recently they were largely static: they could only respond based on patterns in their training data. Function calling changes that. It lets language models interact with external logic — your own code, APIs, utilities, or business systems — while still […]</p>
© 2026 DeepInfra. All rights reserved.