# LLM API > LLM API is an OpenAI-compatible LLM gateway: one API key and one bill for hundreds of models from dozens of providers, with routing, fallbacks, cost analytics and enterprise compliance. 414 models from 36+ providers. Pay up to 30% less than provider list prices on the same models. ## Product - [One LLM gateway for every model](https://llmapi.ai/index.md): LLM API is an LLM gateway that gives your team one API key and one bill for 414 models from 32 labs. - [Sign up](https://app.llmapi.ai/signup): create an LLM API account, add credits and get one API key for every model - [LLM API customers](https://llmapi.ai/customers/index.md): LLM API customers include 2100+ companies, from universities to AI startups. The Mate Academy case study shows how benchmarking models and moving each feature to the most cost-efficient one cut their LLM costs. - [White label LLM API under your own brand](https://llmapi.ai/white-label/index.md): LLM API White Label lets you sell an LLM gateway under your brand, domain and prices. You get our routing platform and all 414 models, with model policies, per-customer limits and monitoring. A launch typically takes a few weeks. ## Pricing - [LLM API pricing](https://llmapi.ai/pricing/index.md): LLM API pricing is per token, at up to 30% below provider list prices. Pay as you go with prepaid credits, commit to a monthly volume for custom discounts, or sell the platform under your brand. - [Full pricing reference](https://llmapi.ai/llms-full.txt): Product, pricing, comparison and legal pages with a price table of every model, in one file ## Models - [All models](https://llmapi.ai/models/index.md): AI model prices on LLM API, from each model's cheapest provider after discounts. Every model in one table: lab, input, output and cache read price per 1M tokens, context. - [Model catalog (JSON)](https://llmapi.ai/models.json): Every active model with id, name, lab, modalities, providers, context window and prices (cheapest provider after discounts, and before) - [LLM API Providers](https://llmapi.ai/providers/index.md): LLM API routes requests to 36+ model providers: model labs, cloud platforms and inference hosts, behind one OpenAI-compatible API key and one bill. Open a provider to see its models, prices and how to send requests to it. ## Status - [LLM uptime status](https://llmapi.ai/status/index.md): LLM uptime status of the providers behind LLM API, live from their official status pages. Pick a provider to see uptime, incidents and automatic failover details. - [Anthropic Claude uptime status](https://llmapi.ai/status/anthropic/index.md): Claude API status, live from Anthropic’s official status page (api.anthropic.com), with 90 days of incident history. - [OpenAI uptime status](https://llmapi.ai/status/openai/index.md): OpenAI API status, live from OpenAI’s official status page, with 90 days of incident history. ChatGPT and Codex are left out. - [Google Gemini uptime status](https://llmapi.ai/status/google/index.md): Gemini API status on Vertex AI (Gemini on Agent Platform), live from Google Cloud’s official status page, with 90 days of incident history. - [Azure uptime status](https://llmapi.ai/status/azure/index.md): Azure OpenAI status, live from Microsoft’s official Azure status page. Microsoft lists only widespread incidents there, so this page shows fewer details than the others. ## Compare - [OpenRouter alternatives: where to route next](https://llmapi.ai/openrouter-alternatives/index.md): We compared 20 OpenRouter alternatives, from routers and gateways to inference clouds, on cost, control, latency and compliance. LiteLLM is the pick for self-hosting, Requesty for a drop-in swap, Groq for latency, DeepInfra for cheap open models, AWS Bedrock for enterprise and LLM API for mixed modalities. - [Mate Academy: $36K saved per year](https://llmapi.ai/case-study/mate-academy/index.md): Mate Academy, an online tech school, benchmarked models side by side on LLM API and moved each feature to the most cost-efficient one. It saves $36K per year on LLM spend. Implementation took one week. ## Docs - [API documentation](https://docs.llmapi.ai/): OpenAI-compatible endpoints, authentication, models and SDK examples - [Service status](https://status.llmapi.ai/): incidents and maintenance - [Data Processing Agreement](https://llmapi.ai/dpa/index.md): This Data Processing Agreement sets out how LLM API processes personal data on behalf of customers as a processor, including sub-processors, security measures, breach notification and international transfers. - [HIPAA Notice](https://llmapi.ai/hipaa-notice/index.md): This HIPAA Notice explains how LLM API handles protected health information (PHI) and what customers must do before sending PHI through the LLM API gateway. - [Privacy Notice](https://llmapi.ai/policy/index.md): This Privacy Notice explains how LLM API processes personal data when you use the website and the gateway API: what we collect, why, our legal bases, retention, and your rights under GDPR and CCPA/CPRA. - [LLM API Referral Agreement](https://llmapi.ai/referral-agreement/index.md): The LLM API Referral Agreement sets the terms between LLM API Inc. and partners who refer business clients: what makes a referral qualify, how it is approved, and how partner fees are paid. - [Terms of Use](https://llmapi.ai/terms/index.md): These Terms of Use govern access to and use of the LLM API website, dashboard and gateway API, including accounts, API keys, credits, acceptable use, payment and liability. ## Buy as an agent - [Agent storefront](https://agents.llmapi.ai/): agents look up LLM API prices and buy pay-per-call inference without a human account - [Storefront llms.txt](https://agents.llmapi.ai/llms.txt): the storefront's own index for agents ## Optional - [LLM API blog: guides to LLM models, pricing and routing](https://llmapi.ai/blog/index.md): The LLM API blog explains how to choose LLM models, compare API prices across providers, set up routing and fallbacks, and keep AI spend under control. The newest posts are listed first. - [10 Synthetic Data Generation APIs Worth Checking Out](https://llmapi.ai/blog/10-synthetic-data-generation-apis-worth-checking-out/index.md): Synthetic data generation APIs create artificial records that keep the structure and patterns of real data without exposing personal information. Ten worth checking out are Gretel.ai, MOSTLY AI, Tonic.ai, YData, OpenAI, Anthropic Claude, SDV, Google Gemini, Synthesia and Cohere; choose by data type: relational tables, Python workflows, text and JSON, RAG testing or video. - [5 Best Document Parsing and Data Extraction APIs](https://llmapi.ai/blog/5-best-document-parsing-and-data-extraction-apis/index.md): The five best document parsing and data extraction APIs in 2026 are LlamaParse, Google Cloud Document AI, Azure AI Document Intelligence, AWS Textract and Docsumo. LlamaParse fits LLM and RAG pipelines, the three cloud services fit enterprise volume on their own platforms, and Docsumo fits operations teams that want no-code tools. - [8 Best AI Image Generators in 2026](https://llmapi.ai/blog/8-best-ai-image-generators-in-2026/index.md): The 8 best AI image generators in 2026 are Midjourney V7, GPT Image 2 (ChatGPT), Nano Banana Pro, FLUX.2, Adobe Firefly 5, Ideogram 3.0, Stable Diffusion 3.5 and Leonardo.ai. Pick Ideogram or FLUX.2 for text in images, FLUX.2 for app integration, Firefly for commercially safe work and Stable Diffusion for full control. - [Best AI Grammar and Spell Checkers in 2026](https://llmapi.ai/blog/best-ai-grammar-and-spell-checkers-in-2026/index.md): The best AI grammar and spell checkers in 2026 are Grammarly for everyday writing, ProWritingAid for long-form editing, Trinka for academic and technical work, LanguageTool for multilingual and privacy-conscious writers, and QuillBot for rewording. Choose by what you write, how much rewriting you want, and how the tool handles your text. - [11 Best Emotion Recognition APIs to Try in 2026](https://llmapi.ai/blog/best-emotion-recognition-apis-to-try/index.md): The best emotion recognition APIs in 2026 are Hume AI for multimodal emotion, IBM Watson NLU and Azure AI Language for text, Amazon Rekognition, Google Cloud Vision AI and Face++ for facial expressions, and Imentiv AI for video. Treat their output as signals with confidence scores, not as facts about how someone feels. - [10 Best Language Detection APIs for Developers in 2026](https://llmapi.ai/blog/best-language-detection-apis-for-developers/index.md): The best language detection API depends on what happens next: Google Cloud Translation when detection leads into translation, Amazon Comprehend for AWS pipelines, Azure AI Language for Microsoft stacks, DetectLanguage.com for simple standalone detection, and fastText or Lingua for private, local processing. Always test with short, mixed-language and noisy text from your own users. - [7 Best Named Entity Recognition APIs in 2026](https://llmapi.ai/blog/best-named-entity-recognition-apis/index.md): The best named entity recognition APIs in 2026 are Amazon Comprehend for AWS apps and PII, Azure AI Language for Microsoft stacks and custom NER, Google Cloud Natural Language for entity sentiment, IBM Watson NLU for semantic analysis, TextRazor and Dandelion for entity linking, and Eden AI for comparing providers. Test the top three on your own text before choosing. - [Best Speech-to-Text APIs in 2026](https://llmapi.ai/blog/best-speech-to-text-apis-to-try/index.md): The best speech-to-text APIs to try in 2026 are AssemblyAI for all-round transcription, Deepgram for low-latency voice agents, OpenAI when transcripts feed LLM workflows, Google, Azure and Amazon for their own clouds, and ElevenLabs Scribe, Speechmatics, Rev AI and Soniox for multilingual media, captions and live audio. Test them on your own real audio before choosing. - [How to Detect AI Content Using Python](https://llmapi.ai/blog/how-to-detect-ai-content-using-python/index.md): To detect AI content using Python, run a Hugging Face text-classification model such as roberta-base-openai-detector through the transformers pipeline, add simple text-statistics features, and combine both into a score with review thresholds. Treat the result as a signal for human review, not proof: paraphrasing, short texts and non-native writing all cause errors. - [How we compared 20 OpenRouter alternatives](https://llmapi.ai/blog/how-we-compared-20-openrouter-alternatives/index.md): We compared 20 OpenRouter alternatives against the same ten criteria, from model breadth and modality coverage to pricing shape, self-hosting and migration effort, using each vendor's own documentation and pricing pages. There is no single overall ranking; recommendations depend on hosting, modality, priority and workload size. - [Top 7 AI Image Generators for Creators](https://llmapi.ai/blog/top-ai-image-generators-for-creators/index.md): The top 7 AI image generators for creators are Midjourney for polished visuals, Adobe Firefly for commercially safe work, ChatGPT image generation for conversational editing, Ideogram for text and posters, Leonardo.AI for control and game assets, Canva for fast social layouts, and Stable Diffusion or FLUX open models for customization. Test each with prompts from your real work before paying. - [7 Best Machine Translation APIs in 2026](https://llmapi.ai/blog/top-best-machine-translation-apis/index.md): The best machine translation APIs in 2026 are Google Cloud Translation for scale, DeepL for natural-sounding business content, Azure Translator and Amazon Translate for Microsoft and AWS stacks, Lara/ModernMT for adaptive localization, Cohere Command A Translate for instruction-following translation, and LibreTranslate for self-hosting. - [Top 9 Free Speech-to-Text Tools, APIs, and Open-Source Models](https://llmapi.ai/blog/top-free-speech-to-text-tools-apis-and-open-source-models/index.md): The best free speech-to-text tools are Whisper and whisper.cpp for open-source local transcription, Vosk for lightweight offline apps, Deepgram and AssemblyAI for managed APIs with free credits, Google Cloud, Azure AI Speech and Amazon Transcribe for their own clouds, and Hugging Face for comparing and fine-tuning open ASR models. Test each on your real audio before production.