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inference-net

At Inference.net, we provide developers and enterprises with access to top-performing large language models (LLMs) through our efficient and cost-effective inference platform. Our offerings include:

Available Models

  • DeepSeek R1: An open-source, first-generation reasoning model leveraging large-scale reinforcement learning to achieve state-of-the-art performance in math, code, and reasoning tasks. Learn more

  • DeepSeek V3: A 671-billion-parameter Mixture-of-Experts (MoE) language model optimized for efficiency and performance, demonstrating superior results across various benchmarks. Learn more

  • Llama 3.1 70B Instruct: A 70-billion-parameter multilingual instruction-tuned language model designed for dialogue use, capable of handling text and code across multiple languages. Learn more

  • Llama 3.1 8B Instruct: An 8-billion-parameter version of the Llama 3.1 series, optimized for dialogue and capable of handling text and code across multiple languages. Learn more

  • Llama 3.2 11B Vision Instruct: A state-of-the-art multimodal language model optimized for image recognition, reasoning, and captioning, surpassing both open and closed models in industry benchmarks. Learn more

  • Mistral Nemo 12B Instruct: A 12-billion-parameter multilingual large language model designed for English-language chat applications, featuring impressive multilingual and code comprehension, with customization options via NVIDIA's NeMo Framework. Learn more

Key Features

  • Real-Time Chat: Utilize our serverless inference APIs to build AI applications with industry-leading latency and throughput, powered by our optimized GPU infrastructure. Learn more

  • Batch Inference: Process large-scale asynchronous AI workloads efficiently with our specialized batch processing capabilities. Learn more

  • Data Extraction: Transform unstructured data into actionable insights with powerful schema validation and parsing, ensuring precise extraction and flexible processing. Learn more

Why Choose Inference.net?

  • Unbeatable Pricing: Save up to 90% on AI inference costs compared to legacy providers. Only pay for what you use, with no hidden fees.

  • Easy Integration: Our APIs are OpenAI-compatible, allowing you to switch in under two minutes with a simple code change. We provide first-class support for popular LLM frameworks like LangChain and LlamaIndex.

  • Scalability: Our platform is designed to scale effortlessly from zero to billions of requests, ensuring reliable performance at any scale.

Get Started

Deploy in under five minutes and immediately start saving on your inference bill. Get Started.

Docs

You can find out docs here.

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  1. autodoc autodoc Public

    Experimental toolkit for auto-generating codebase documentation using LLMs

    TypeScript 2.2k 150

  2. mactop mactop Public

    mactop - Apple Silicon Monitor Top

    Go 2.1k 49

Repositories

Showing 10 of 58 repositories
  • inference-samples Public

    Cookbooks, examples, and guides for using the Inference API.

    context-labs/inference-samples’s past year of commit activity
    2 MIT 0 0 0 Updated Oct 2, 2025
  • classification-example Public

    Documentation for a document classification endpoint API.

    context-labs/classification-example’s past year of commit activity
    0 0 0 0 Updated Sep 21, 2025
  • awesome-open-workhorse-models Public

    A curated list of small language models (SLMs) that are very good a particular task and have seen real enterprise adoption.

    context-labs/awesome-open-workhorse-models’s past year of commit activity
    32 2 0 0 Updated Sep 19, 2025
  • gateway Public Forked from Portkey-AI/gateway

    A blazing fast AI Gateway with integrated guardrails. Route to 200+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.

    context-labs/gateway’s past year of commit activity
    TypeScript 0 MIT 772 0 0 Updated Sep 6, 2025
  • tokenizers Public Forked from Anush008/tokenizers

    Multi-arch bindings for @huggingface/tokenizers.

    context-labs/tokenizers’s past year of commit activity
    Rust 0 MIT 4 0 0 Updated Aug 29, 2025
  • cliptagger-playground Public

    A playground for the ClipTagger model.

    context-labs/cliptagger-playground’s past year of commit activity
    TypeScript 2 1 0 0 Updated Aug 25, 2025
  • uwu Public
    context-labs/uwu’s past year of commit activity
    TypeScript 926 MIT 40 3 2 Updated Aug 24, 2025
  • performative-male Public

    Performative male detector

    context-labs/performative-male’s past year of commit activity
    TypeScript 0 0 0 0 Updated Aug 21, 2025
  • context-labs/inference-devnet-docs’s past year of commit activity
    MDX 16 28 1 0 Updated Aug 15, 2025
  • inference-staking Public

    Inference.net core staking protocol.

    context-labs/inference-staking’s past year of commit activity
    TypeScript 3 0 0 0 Updated Aug 13, 2025

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