What it is
Overview
Together AI addresses the challenge of efficiently deploying and running large language models at scale. Developers and organizations previously struggled with the complexity and cost of hosting their own AI models or relying on expensive proprietary APIs. Together AI provides a cloud platform specifically designed for running open-source AI models with optimized performance.
At a glance
Usability & Quality overview
Best for
- teams wanting fast access to open-source model inference
- developers comparing cost and model variety across AI APIs
- coding-oriented workloads that benefit from a broad model catalog
Watch out for
- pricing can become harder to justify as usage grows
- some advanced workflow settings may be missing in certain integrations
Built on another provider's modelResells a third-party model API
Together AI provides significant value beyond basic ChatGPT access through proprietary infrastructure optimizations that deliver faster inference speeds, API access to multiple open-source models like Llama and Mistral, and fine-tuning capabilities for custom use cases.
Strong evidenceQuality score
Together AI Fast, low-cost inference for open-source models, but costs rise at scale.
This score is our editorial judgment, computed automatically from the sources, weights, and dates shown above. It reflects the data we could verify as of October 12, 2026, not a guarantee or statement of fact about Together AI. Third-party ratings and quotes belong to their original platforms and authors. Thin data lowers our confidence label, and we say so instead of guessing. Work on Together AI? Dispute any datapoint and we will review it, publish your response, and correct verified errors.
Plans
Pricing
How free is free?
Free with limits
$25 free credits to start; pay-per-token after
What you get for free
- $25 in free credits for new users
- Access to 50+ open-source AI models
- Serverless inference deployment
Behind the paywall
- Usage beyond $25 credit limitPay-per-use
- Fine-tuned model hostingPay-per-use ($0.52/hour)
- High-resolution image generationPay-per-use ($10 per 1024x1024)
Community feedback
Aggregated reviews
Ratings and quoted comments below are aggregated from third-party sources and reflect those users' views, not SearchTools.ai's.
What reviewers talk about
themes inside the Sentiment pillar — not score ingredients
69Output Qualitythin data · 5 mentions
“It’s just so fast. If you’ve ever tried to run open-source models yourself, you know how much of a headache the infrastructure is. With Together, you can just grab an API key and start playing with all these models, like Llama or Mistral. It feels like it was actually designed to be fast, and the inference is just snappier than the other platforms I’ve tried. It is definitely not for the beginner. If you are not comfortable with coding or APIs, you are going to be totally lost because the docume”
“The best thing I like about Together AI is 100% accurate most of the time. It performs best without losing accuracy. It scales with utmost models. And it works on faster way with almost 400 tokens/sec I don't see much disadvantage when it was implemented for our project. But it is sometimes slow which I have observed on long searched values. But it can be neglected with accuracy. Since we have the demand for qualitative implementation of best visuals in our project. And what we saw it uses optim”
“Maybe not the real model? Or slower to create? The pricing is under what the provider charges substantially for closed models. So they are either eating massive losses, only using spare capacity in some deal or not providing the real model.”
“I am a big fan of Together.ai because they have the latest models that come out, and there are a lot of models to play with. But if you don’t find joy in experimentation, I would agree that Houndify is better.”
47Value & Pricing12 mentions
“I've seen this play out a few times now, and honestly the "give away, then charge for scale" model only really works when two things line up: you've got something people genuinely can't get elsewhere, and your unit economics actually survive the free tier abuse. Together AI nailed both. They had the H100s when nobody else did, and their inference optimisation meant they weren't bleeding money on every free request. Most companies trying this approach get one but not the other. The bit that's”
“Is there any upsides? Guess if they didn't use bait and switch tactics, I would have stayed. Bait and switch. Setup a model for some testing on a serverless instance. Two days later the api access does not work. Contact support to be told that the instance has been deprecated. During setup, there was no indication of the instance being marked for deprecation. Support claimed there was an announcement sent out. I questioned how was I supposed to receive that when I wasn't a customer. After 2 week”
“I use together a ton. It’s cheap and fast and I can push a lot of tokens through it and not waste my physical GPUs on simple generative tasks when they could be doing something that requires dedicated GPU like training or running local only models. To beat their prices renting GPUs, I don’t think I could do it even at 100% load. If I bought GPUs of my own and parked them in a data center and kept them doing inference at 80% load 24/7 I could come close but their inference pipeline is going to ”
“Been using Together.ai for inference but the pricing is getting hard to justify as the project scales. Latency has also been inconsistent a bit. What are you running instead? Looking for something with decent model selection.”
57Reliability10 mentions
“been on most of em in prod for a year. honest take, together is the safe default, fireworks fastest at like 30% premium, baseten best dev ux which you pay for, modal overkill for plain api inference. biggest thing i wish i knew earlier, ALWAYS ask for committed spend pricing. public rates are tourist prices, everyone discounts 20-40% for 5k+/mo commits. ps i run runcrate, another in this category”
“Been using Together.ai for inference but the pricing is getting hard to justify as the project scales. Latency has also been inconsistent a bit. What are you running instead? Looking for something with decent model selection.”
“I use together a ton. It’s cheap and fast and I can push a lot of tokens through it and not waste my physical GPUs on simple generative tasks when they could be doing something that requires dedicated GPU like training or running local only models. To beat their prices renting GPUs, I don’t think I could do it even at 100% load. If I bought GPUs of my own and parked them in a data center and kept them doing inference at 80% load 24/7 I could come close but their inference pipeline is going to ”
“Hi, I bought €15 worth of credits through Together.AI, hoping I could use the LLMs to power my AnythingLLM for personal projects. However, I'm having an issue where, whenever I try a more complex prompt, the model abruptly stops. I tried the same thing through aichat (an open-source CLI tool for prompting LLMs) and encountered the same issue. I set the max_tokens value really high, so I don't think that's the problem. Does anyone have any experience with this and could help me? Was it a mistake ”
71Trust derived from dimensions + predator detectionview math
A composite of the quality dimensions weighted by mention volume, then capped by predator / abuse-detection rules.
Reasoning
Capabilities
Key features
Developer Tools
Provides utilities that help programmers build, test, and ship software faster
API Design
Designs and documents API endpoints, schemas, and contracts from your requirements
The honest take
What users love & flag
Distinct themes surfaced across 13 reviews from 2 sources — each grounded in real review text, ranked by how often it comes up.
Questions
Frequently asked
What is Together AI?
Together AI is a cloud platform that allows developers to deploy and run over 50 open-source AI models through optimized serverless inference. The platform eliminates the complexity of hosting your own AI models while providing access to popular models like Llama 2, Falcon, RedPajama, DeepSeek, and Qwen without managing infrastructure.
Is Together AI free to use?
Together AI offers $25 in free credits for new users to get started. After that, it uses token-based pricing starting at $0.0001 per 1K tokens for smaller models (up to 3B parameters) and scaling up to $0.003 per 1K tokens for larger models (up to 70B parameters).
What types of AI models can I run on Together AI?
Together AI supports multiple model types including chat, language, code, and image models. You can access over 50 open-source models including popular ones like Llama 2, Falcon, DeepSeek, Qwen, and RedPajama models ranging from small 3B parameter models to large 70B parameter models.
Can I fine-tune models on Together AI?
Yes, Together AI offers fine-tuning capabilities for open-source models with managed training infrastructure. They also provide GPU clusters for training and managed storage, with hosting fees for fine-tuned models up to 7B parameters at $0.52 per hour.
What makes Together AI's inference faster than other platforms?
Together AI's research team has developed cutting-edge optimizations including FlashAttention, speculative decoding techniques, and custom kernel development. These research-backed improvements offer up to 5x better cost efficiency compared to traditional inference solutions.
What deployment options does Together AI offer?
Together AI provides multiple deployment options including serverless inference with automatic scaling, batch inference for large workloads, provisioned throughput with guaranteed capacity and 99% uptime SLA, and dedicated model inference for enterprise needs. All options come with no long-term commitments.
How much does image generation cost on Together AI?
Image generation pricing varies by resolution and steps. For 512x512 images with 25 steps (up to 300 kilopixels), it costs $0.001 per image, while 1024x1024 images with 25 steps (up to 1.1 megapixels) cost $0.01 per image.
How do I access Together AI models?
You can access Together AI models through their APIs for programmatic integration or through playground interfaces for testing and experimentation. The platform operates entirely through web-based tools without requiring local software installation.
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