# Meta Models via Hanzo AI — 16 models > Access 16 Meta models via Hanzo's OpenAI-compatible API. Single API key, unified billing, and global low-latency routing. [Models](https://hanzo.ai/models)/Meta # Meta Models via Hanzo AI 16 models available Access all 16 Meta models through Hanzo's OpenAI-compatible API. One key, one bill, no rate limit juggling. [Get API Access](https://hanzo.ai/signup)[API Docs](https://docs.hanzo.ai) Instant Guest API Keyguest_temp_key No account or sign up required Test right now from your terminal. No credentials needed: cURL · instant guest request Copy ``` curl https://api.hanzo.ai/v1/chat/completions \ -H "Authorization: Bearer guest_temp_key" \ -d '{"model": "zen-free", "messages": [{"role": "user", "content": "hello"}]}' ``` [Llama 3.1 70B Instruct131KMeta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...text](https://hanzo.ai/models/meta/llama-3.1-70b-instruct) [Llama 3.1 8B Instruct131KMeta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...text](https://hanzo.ai/models/meta/llama-3.1-8b-instruct) [Llama 3.2 1B Instruct60KLlama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...text](https://hanzo.ai/models/meta/llama-3.2-1b-instruct) [Llama 3.2 3B Instruct131KLlama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...text](https://hanzo.ai/models/meta/llama-3.2-3b-instruct) [Llama 3.3 70B Instruct131KThe Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...text](https://hanzo.ai/models/meta/llama-3.3-70b-instruct) [Llama 4 Maverick524KLlama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...text](https://hanzo.ai/models/meta/llama-4-maverick) [Llama 4 Scout328KLlama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...text](https://hanzo.ai/models/meta/llama-4-scout) [Llama Guard 4 12B164KLlama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM...text](https://hanzo.ai/models/meta/llama-guard-4-12b) [Muse Glimmer 30B131KMuse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon...text](https://hanzo.ai/models/meta/muse-glimmer-30b) [Muse Spark 1.11MMuse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, and PDF documents and returns text, with a 1M-token context window....text](https://hanzo.ai/models/meta/muse-spark-1.1) [Muse Spark 1.21MMuse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, and PDF documents, returns text, and offers a 1M-token context window....text](https://hanzo.ai/models/meta/muse-spark-1.2) [Muse Spark 1.2 Contributor1MMuse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark...text](https://hanzo.ai/models/meta/muse-spark-1.2-contributor) [Muse Spark 1.31MMuse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through...text](https://hanzo.ai/models/meta/muse-spark-1.3) [Muse Spark 1.3 Contributor1MMuse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information...text](https://hanzo.ai/models/meta/muse-spark-1.3-contributor) [Muse Spark Open1MMuse Spark Open is a coding-optimized open-weight model. Trained specifically for agentic coding workflows, it delivers higher first-attempt accuracy, reliable tool calling, and deep codebase understanding across the repos developers...text](https://hanzo.ai/models/meta/muse-spark-open) [Muse Wonder1MMuse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...text](https://hanzo.ai/models/meta/muse-wonder) ## Use Meta models via Hanzo One key. One bill. Works with every SDK you already have. [Start Free](https://platform.hanzo.ai/api-keys)[Browse All Models](https://hanzo.ai/models)