Deep Infra vs. Nextbit Inference Comparison


Deep Infra 1.0 out of 5 stars	Nextbit Inference NEXTBIT 256, S.L.	+	+
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About Powerful, self-serve machine learning platform where you can turn models into scalable APIs in just a few clicks. Sign up for Deep Infra account using GitHub or log in using GitHub. Choose among hundreds of the most popular ML models. Use a simple rest API to call your model. Deploy models to production faster and cheaper with our serverless GPUs than developing the infrastructure yourself. We have different pricing models depending on the model used. Some of our language models offer per-token pricing. Most other models are billed for inference execution time. With this pricing model, you only pay for what you use. There are no long-term contracts or upfront costs, and you can easily scale up and down as your business needs change. All models run on A100 GPUs, optimized for inference performance and low latency. Our system will automatically scale the model based on your needs.	About Nextbit Inference hosts open-weight AI models behind API endpoints compatible with OpenAI and Anthropic request formats. Developers can select from a model catalog and invoke models through established client libraries, with token-based pricing. Service options include shared serverless inference and dedicated single-tenant endpoints with reserved capacity. Nextbit also offers model fine-tuning and deployment for fine-tuned or customer-provided models. It serves AI and machine-learning engineers building applications, agents, and production inference workflows. Customers can choose EU or global endpoints, and dedicated deployments can be configured for data-location or infrastructure needs. The API fits existing development workflows, while serverless inference lets customers access GPU-backed model serving without operating the underlying inference infrastructure.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Anyone in search of a solution to run the top AI models to improve their machine learning outcomes	Audience AI engineering teams, ML engineers, CTOs and organizations deploying open-weight AI models through APIs or dedicated infrastructure.
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos No images available
Pricing $0.70 per 1M input tokens Free Version Not Supported Free Trial Supported	Pricing $0.075/1M input tokens Serverless inference is billed per million input and output tokens at model-specific rates; Gemma 3 12B starts at $0.075 per million input tokens and $0.15 per million output tokens. Dedicated Inference uses a fixed monthly fee paid upfront, with 6-, 12-, 18-, or 24-month commitments and capacity-based tiers. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 1.0 / 5 ease 1.7 / 5 features 1.7 / 5 design 3.3 / 5 support 1.0 / 5 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Pros & Cons from Real Users Pros N/A No pros! Even if you set things up to stop wasting money (silent fails etc.), your settings are worthless. Large range of models. On first glance, priced well. Sleek user interface and easy access to API keys. Min top-up is low at $5. Cons The services advertised don't work. - Setup has different levels without correspondence or evidence of redundancy - your programming limits are worthless, the model runs as it pleases In the less than a month I was testing their service, for common, highly used models available for free download on Hugging Face (so they weren't having to pay a middle man like for gpt etc), they: 1) Deleted 1 model entirely and offered no replacement. 2) Increased the price on another model 400%. 3) Doubled the price of another. There was no obvious way to contact them about this on their website other than a sales form.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Deep Infra deepinfra.com	Company Information NEXTBIT 256, S.L. Founded: 2021 Spain www.nextbit256.com
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Categories AI Inference Supported AI Infrastructure Supported LLM API Supported Machine Learning Supported	Categories AI Inference Supported LLM API Supported

Integrations AI SpendOps Supported Code Llama Supported Codestral Supported Codestral Mamba Supported Cursor Not Supported Datadog Not Supported GitHub Supported Higgs Audio / Avatar Supported Llama 3.1 Supported Llama 3.2 Supported Llama 3.3 Supported Mathstral Supported Microsoft Azure Not Supported Ministral 3B Supported Mistral 7B Supported Mistral Large Supported Mistral Small Supported Pixtral Large Supported Prometheus Not Supported Show More Integrations View All 24 Integrations	Integrations AI SpendOps Not Supported Code Llama Not Supported Codestral Not Supported Codestral Mamba Not Supported Cursor Supported Datadog Supported GitHub Not Supported Higgs Audio / Avatar Not Supported Llama 3.1 Not Supported Llama 3.2 Not Supported Llama 3.3 Not Supported Mathstral Not Supported Microsoft Azure Supported Ministral 3B Not Supported Mistral 7B Not Supported Mistral Large Not Supported Mistral Small Not Supported Pixtral Large Not Supported Prometheus Supported Show More Integrations View All 10 Integrations
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