DeepSeek-V3-0324 is now live.Try it

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    DeepSeek R1 visualization
    DeepSeek
    FP8

    DeepSeek R1

    DeepSeek-R1 is 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, and includes distilled models suitable for various applications.

    $0.75 / $3.00
    125K Context

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    DeepSeek V3 visualization
    DeepSeek
    FP8

    DeepSeek V3

    DeepSeek-V3 is a 671 billion parameter Mixture-of-Experts (MoE) language model optimized for efficiency and performance, demonstrating superior results across various benchmarks through innovative strategies and extensive pre-training on high-quality data.

    $0.40 / $1.20
    125K Context

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    Llama 3.1 70B Instruct visualization
    Meta
    FP16

    Llama 3.1 70B Instruct

    The Meta Llama 3.1 collection consists of high-performing, multilingual large language models optimized for dialogue and capable of handling text and code across 8 languages, available in 8B, 70B, and 405B parameter sizes, with a focus on safety, inclusivity, and societal benefit.

    $0.30 / $0.40
    16K Context
    JSON

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    Llama 3.1 8B Instruct visualization
    Meta
    FP8

    Llama 3.1 8B Instruct

    Meta Llama 3.1 is a collection of advanced, multilingual large language models designed for dialogues, available in 8B, 70B, and 405B sizes, that outperform many chat models on industry benchmarks and emphasize safe, responsible use in various applications.

    $0.025 / $0.025
    16K Context
    JSON

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    Llama 3.2 11B Vision Instruct visualization
    Meta
    FP16

    Llama 3.2 11B Vision Instruct

    Llama 3.2-Vision, developed by Meta, is a state-of-the-art multimodal language model optimized for image recognition, reasoning, and captioning, surpassing both open and closed models in industry benchmarks.

    $0.055 / $0.055
    16K Context
    JSON

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    Mistral Nemo 12B Instruct visualization
    Mistral
    FP8

    Mistral Nemo 12B Instruct

    Mistral-NeMo-12B-Instruct is 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.

    $0.038 / $0.10
    16K Context
    JSON
    Tool Calling

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    PLAYGROUND

    Total Cost = $0.00

    Time To First Token

    0ms

    Tokens Per Second

    0

    Total Tokens

    0

    Type a message to get started

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    Our pricing is up to 90% lower than other providers, with the same enterprise-grade reliability.

    Calculate Your Savings

    1B
    Input tokens: 700M | Output tokens: 300M

    Price on Together.ai

    $4.2K/mo

    Input: $3 / million tokens | Output: $7 / million tokens

    Price on

    $1.4K/mo

    Save 66%

    Input: $0.75 / million tokens | Output: $3 / million tokens

    OPENAI SDK COMPATIBLE

    Our APIs are OpenAI-compatible. Switch in under two minutes and start saving. A two-line code change is all you need.

    import OpenAI from "openai";

const openai = new OpenAI({
  baseURL: "https://api.inference.net/v1",
  apiKey: process.env.INFERENCE_API_KEY,
});

const completion = await openai.chat.completions.create({
  model: "meta-llama/llama-3.1-8b-instruct/fp-8",
  messages: [
    {
      role: "user",
      content: "What is the meaning of life?"
    }
  ],
  stream: true,
});

for await (const chunk of completion) {
  process.stdout.write(chunk.choices[0]?.delta.content as string);
}
    USE CASE

    REAL-TIME CHAT

    Powerful serverless inference APIs that scale from zero to billions.

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    Top-Tier Performance

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    Up to 90% cost savings vs legacy providers. Only pay for what you use, and never a penny more.

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    Easy Integration

    First-class support for LangChain, LlamaIndex and other popular LLM frameworks.

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    USE CASE

    BATCH INFERENCE

    Process millions of requests per batch with a single API call.

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    Unmatched Scale & Cost

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    Built for Developers

    Easy to integrate. Find the code samples and documentation you need, when you need it.

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    USE CASE

    DATA EXTRACTION

    Transform unstructured data into actionable insights with powerful schema validation and parsing.

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    Precise Extraction

    Extract structured data with guaranteed schema compliance using JSON Schema validation. Handle complex nested objects with confidence.

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    Flexible Processing

    Process data at scale with our Batch API, or stream response objects in real-time as they are generated.

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    Familiar Tooling

    First-class SDK support for TypeScript, Python, and more. Support for popular validation tools like Pydantic and Zod.

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    Rhys Sullivan

    Product Engineer, Vercel

    If open source models are at the quality you need, inference.net may be helpful

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    Michael Hess

    Co-founder & CTO, Outset.ai

    We use Inference.net for some of structured output tasks. It's a great product.

    Mike Pollard

    Mike Pollard

    Founder, Mikeathon

    We checked prices for all the top providers. Inference.net was the cheapest by a mile.

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