Together AI

What do you like best about the product?

Together.ai provides fast and reliable access to powerful open-source AI models with great API performance.

What do you dislike about the product?

Sometimes the pricing or documentation could be a bit more beginner-friendly, but overall it is a great service

What problems is the product solving and how is that benefiting you?

It saves time and resources by providing fast APIs, smooth model deployment, and high-performance cloud infrastructure for AI projects.

What do you like best about the product?

wide range of open-source models, easy API integration, competitive pricing, fast inference, flexible model deployment, good support for AI development workflows

What do you dislike about the product?

occasional API latency, limited fine-tuning options for some models, documentation can be clearer, model performance varies, debugging API errors can be tricky, pricing can be less predictable at scale

What problems is the product solving and how is that benefiting you?

access to multiple open-source AI models, faster model experimentation, reduced infrastructure setup, cost-effective AI development, easy API integration, scalable inference for applications

What do you like best about the product?

What I like best about Together AI is its easy access to a wide range of open-source AI models through a single platform. The API is straightforward to integrate, performance is impressive, and the platform makes it easy to experiment with different models for various use cases. I also appreciate the flexibility, scalability, and developer-friendly tools, which help speed up development and reduce the effort required to build AI-powered applications.

What do you dislike about the product?

One area for improvement is the consistency of performance and response times across different models, especially during high-demand periods. The pricing and usage limits could also be easier to understand, making it simpler to estimate costs for different workloads. Additionally, more detailed documentation and troubleshooting examples for certain models would help developers integrate and optimize their applications more efficiently.

What problems is the product solving and how is that benefiting you?

Together AI solves the challenge of accessing and integrating different AI models without having to manage multiple platforms. It provides a unified API that makes it easier to experiment with open-source models, compare their performance, and build AI-powered applications efficiently. This saves development time, simplifies model integration, and provides the flexibility to choose models based on specific project requirements and budget. Overall, it helps streamline development and makes working with AI more accessible and cost-effective.

What do you like best about the product?

Together.ai provides fast and reliable inference endpoints for running leading open-source models like Meta Llama and Mistral without requiring you to manage high-end GPU hardware or complex cloud instances. The developer dashboard is clean, creating API keys and organizing project settings takes just seconds, and the API structure is straightforward to integrate into web applications and Python backends.

What do you dislike about the product?

The onboarding setup is somewhat restrictive for new developers testing the platform, as accounts are immediately placed into read-only mode and require an upfront credit deposit before you can run sample test prompts in the playground. Providing a small sandbox balance or a few test credits to evaluate model latency and playground features before adding payment details would make the developer experience much smoother.

What problems is the product solving and how is that benefiting you?

Together.ai solves the heavy infrastructure burden of provisioning, managing, and maintaining expensive dedicated GPU clusters just to run open-source AI models. Instead of dealing with CUDA drivers, server orchestration, and high hardware overhead, it provides instant serverless inference APIs. This benefits me by dramatically speeding up project development and prototyping, allowing me to integrate language model capabilities into web applications and test different open-source model architectures with minimal friction.

What do you like best about the product?

The best thing about Together AI is its industry-leading, low-latency inference speed and cost-effective access to a massive library of open-source models without the hassle of managing GPU infrastructure.

What do you dislike about the product?

The main dislikes regarding Together AI are its complex and fragmented multi-page pricing structure that makes total cost estimation difficult, thin documentation with vague error codes for debugging, and raw processing speeds that trail ultra-low-latency competitors like Groq for real-time applications.

What problems is the product solving and how is that benefiting you?

Together AI solves the core infrastructure, cost, and optimization bottlenecks that prevent developers and enterprises from successfully deploying open-source artificial intelligence at scale.

What do you like best about the product?

Its wide selection of open-source AI models, fast inference, and simple API integration.

What do you dislike about the product?

Performance and reliability can vary between models

What problems is the product solving and how is that benefiting you?

Helps reduce the complexity and cost of running open-source AI models by providing hosted inference APIs.

What do you like best about the product?

A very helpful in doing my task and Delivers up to 60% lower inference costs and superior unit economics by maximizing GPU utilization

What do you dislike about the product?

Achieves up to 2x faster model inference and faster agentic workflows using research-backed optimizations like FlashAttention.
No Free Tier: Unlike some platforms that allow developer experimentation, Together AI has no permanent free tier, meaning model testing and evaluation cost real money from day one.

What problems is the product solving and how is that benefiting you?

Together AI solves critical friction points for companies building with artificial intelligence by bridging the gap between raw hardware and developer convenience.

What do you like best about the product?

The best thing I like is the latency. On my platform, I build voice agents for businesses, and for voice agents the most important factors are latency, time to first token, and tokens per second. So far, I haven’t faced any issues with latency, and the inference speed has been excellent. It’s still below Cerebras, but it works well for my use case. Another big plus is that we get newly launched models quickly.

What do you dislike about the product?

The API limits requests per minute, which is harming my business. I’d like to see the limits, or the TPM, increased even for lower-tier users. Some users don’t have a consistent need for higher limits, but others—like me—get traffic in bursts, so during peak times I run into 429 errors.

What problems is the product solving and how is that benefiting you?

Other platforms don’t have this level of low latency or time-to-first-token speed. For me, that makes a real difference and helps me keep up with the services we provide.

What do you like best about the product?

No GPU headache. It lets you run these models without having to manage the GPU setup yourself, so a lot of the painful work is taken off your plate. You can also build your own custom model: fine-tune an open-source model on your own data, then start using it right away on the same platform. It was easy for me to switch over, too. The API is OpenAI-compatible, so if your app already uses OpenAI, you only need a few code changes.

What do you dislike about the product?

Documentation could be better. There’s no free tier for inference, and the usage-based pricing model can make it harder to budget and predict costs.

What problems is the product solving and how is that benefiting you?

Customizing a model can be complicated, and fine-tuning on your own data usually requires serious infrastructure. Together AI provides this as a built-in service, so a team can move from early experiments to a custom model all in one place. If you’re building an app, you can also try out different open-source models without having to manage servers yourself.

What do you like best about the product?

I find it easy to use, with a clear use case and a solid pitch for why you’d want to use the product. The team and the community are great, and it’s a great integration tool overall. The pricing looks decent, and it does what it’s advertised to do. Overall, it’s one of the great AI startups.

What do you dislike about the product?

The onboarding process is a bit too much, it took me a lot of time to read the documentation and get it going.

What problems is the product solving and how is that benefiting you?

It helps the performance of several processes I manage through AI.