Together AI partners with Meta to offer Llama 4: SOTA Multimodal MoE Models
Today, we’re thrilled to introduce day 1 support for Llama 4 on the Together AI platform as a Meta launch partner. Built for developers seeking unparalleled multimodal capabilities, efficiency, and scale, Llama 4 combines a cutting-edge mixture-of-experts (MoE) architecture with native multimodality—empowering you to create state of the art long context AI applications.
We’re launching both groundbreaking Llama 4 models today:
- Llama 4 Maverick (17B active params, 400B total): A 128-expert MoE powerhouse for multilingual image/text understanding (12 languages), creative writing, and enterprise-scale applications—outperforming Llama 3.3 70B. Supports 1M tokens context*.
- Llama 4 Scout (17B active params, 109B total): A 16-expert MoE model that excels at multi-document analysis, codebase reasoning, and personalized tasks. A smaller model than Maverick but state of the art in its size & with text + image input support. Supports 10M context.*
*Note: We’re starting with 500k context length supported on Maverick and 300k context on Scout.
🦙 Meet the Llama 4 Herd
Llama 4 Maverick: The Multilingual Workhorse
- 1M-token context*: Process large amounts of data in one go, including entire code repositories, years of user activity, or vast research archive.
- 400B total parameters with 128 experts: Optimized for high-speed, high-quality responses in chat, creative writing, and precise image understanding.
- 12-language support: Break language barriers in global applications.
- Use cases:
- 🌐 Multilingual customer support with visual context.
- 🎨 Generating marketing content from previous multimodal PDFs.
- 🔍 Advanced document intelligence (text + diagrams + tables).
Llama 4 Scout: Efficiency Meets Scale
- 10M-token context*: Process lots of data in one go, including entire textbooks.
- 109B total parameters with 16 experts, delivering state-of-the-art performance for its class.
- Use cases:
- 📚 Multi-document summarization for legal/financial analysis.
- 🧑💻 Personalized task automation using years of user data.
- 🖼️ Efficient image parsing for multimodal applications.
*Note: For launch, Together AI currently supports a 500k context length for Maverick and 300k context length for Scout. We will be increasing it soon!
⚡ Example Multimodal Prompt
Get started with Llama 4 on our playground! You can play around with Llama 4 for free on Together Chat – our new consumer chat app.

🚤 Get started in minutes
Try Llama 4 Scout and Llama 4 Maverick on Together AI today through our serverless API. Join over half a million developers building on the Together platform on top of our optimized inference engine.
🌍 What Will You Build?
With long context, native multimodality, and MoE efficiency, Llama 4 unlocks building a new class of AI applications. And with the commitment that Together AI has to open-source innovation, developers can build with Llama 4 while fully controlling their models and data.
Try Llama 4 today on the Together Playground, Together Chat, or get started with building directly on our API. You can also deploy it on our dedicated endpoints to serve the most demanding production applications and enterprises. The herd has evolved—join the revolution.
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Build
Benefits included:
✔ Up to $15K in free platform credits*
✔ 3 hours of free forward-deployed engineering time.
Funding: Less than $5M
Grow
Benefits included:
✔ Up to $30K in free platform credits*
✔ 6 hours of free forward-deployed engineering time.
Funding: $5M-$10M
Scale
Benefits included:
✔ Up to $50K in free platform credits*
✔ 10 hours of free forward-deployed engineering time.
Funding: $10M-$25M
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Natalia sold clips to 48 of her friends in April, and then she sold half as many clips in May. How many clips did Natalia sell altogether in April and May?
Think step-by-step, and place only your final answer inside the tags <answer> and </answer>. Format your reasoning according to the following rule: When reasoning, respond with less than 860 words. Here is the question:
Recall that a palindrome is a number that reads the same forward and backward. Find the greatest integer less than $1000$ that is a palindrome both when written in base ten and when written in base eight, such as $292 = 444_{\\text{eight}}.$
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Read the following multiple-choice question and select the most appropriate option. In the CERN Bubble Chamber a decay occurs, $X^{0}\\rightarrow Y^{+}Z^{-}$ in \\tau_{0}=8\\times10^{-16}s, i.e. the proper lifetime of X^{0}. What minimum resolution is needed to observe at least 30% of the decays? Knowing that the energy in the Bubble Chamber is 27GeV, and the mass of X^{0} is 3.41GeV.
- A. 2.08*1e-1 m
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Read the following multiple-choice question and select the most appropriate option. Trees most likely change the environment in which they are located by
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Among the 900 residents of Aimeville, there are 195 who own a diamond ring, 367 who own a set of golf clubs, and 562 who own a garden spade. In addition, each of the 900 residents owns a bag of candy hearts. There are 437 residents who own exactly two of these things, and 234 residents who own exactly three of these things. Find the number of residents of Aimeville who own all four of these things.
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Alexis is applying for a new job and bought a new set of business clothes to wear to the interview. She went to a department store with a budget of $200 and spent $30 on a button-up shirt, $46 on suit pants, $38 on a suit coat, $11 on socks, and $18 on a belt. She also purchased a pair of shoes, but lost the receipt for them. She has $16 left from her budget. How much did Alexis pay for the shoes?