Together AI
Together AI / together.ai
Cloud inference platform providing fast, cost-competitive API access to leading open source AI models including Llama, Mistral, and FLUX.
Pricing
Free
Free plan
Yes
Category
Developer Tools
Platforms
2
Rating
4.6 (2500)
Free plan
Yes
API access
Yes
Open source
No
Platforms
2
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What is Together AI?
Together AI is a cloud inference provider that has built a strong developer following by offering fast, affordable access to leading open source AI models without the complexity of managing GPU infrastructure. It is primarily a developer infrastructure tool rather than a consumer product, but for development teams evaluating open source models as alternatives to proprietary APIs from OpenAI and Anthropic, Together AI is a frequently recommended starting point.
The platform supports a wide range of open source models including the Llama series from Meta, Mistral models, Mixtral, FLUX for image generation, and many others. The pricing is competitive, often significantly cheaper than proprietary alternatives for comparable tasks, which has made it attractive for cost-conscious teams building AI applications.
Fine-tuning is a practical feature for teams that want to train a custom model on their own data. Together AI provides managed fine-tuning that reduces the infrastructure complexity of adapting open source models for specific use cases.
The inference speed is a consistent positive in user reviews. Together AI has invested in optimised inference infrastructure that provides fast response times, which matters for production applications where latency affects user experience.
As a US-based company, Together AI addresses the data sovereignty concern that arises when evaluating DeepSeek's hosted API for European or US organisations. Teams that want to use DeepSeek or other open source models without routing data through non-US infrastructure can do so through Together AI.
The free $25 credit for new accounts allows meaningful evaluation without upfront commitment.
How Together AI works
Together AI runs as ml inference platform software built around text and image workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web and api, with API access for teams that want to embed it into their own products.
What makes it worth shortlisting
The capabilities that matter most for teams evaluating Together AI.
Open source model API
Access to leading open source models including Llama, Mistral, and FLUX through a consistent API with OpenAI-compatible endpoints.
Managed fine-tuning
Train custom models on proprietary data without managing GPU infrastructure, using Together AI's managed fine-tuning service.
Fast inference
Optimised inference infrastructure producing low-latency responses suitable for production applications.
Best use cases
Who should use it
Pros
- Competitive pricing for open source model inference
- Fast inference speeds suitable for production applications
- US-based infrastructure addresses data sovereignty concerns
- Managed fine-tuning reduces complexity of model adaptation
Cons
- Developer-only platform with limited accessibility for non-technical users
- OpenAI API compatibility can have edge case differences
- Less model variety than Hugging Face Inference
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Is it worth the price?
Free $25 in credits for new accounts. Usage-based pricing from $0.10/million tokens for smaller models to $3.50/million for large models. Enterprise custom pricing.
Model
Usage-based
Starting price
Free
Free trial
No
Tools like Together AI
Hugging Face Inference API is a direct competitor with more model variety. Groq offers the fastest inference speeds for LLMs. Replicate provides broader access to diverse open source models beyond LLMs.
Together AI vs Hugging Face
A side-by-side look at the closest alternative in this category.
Together AI
Together AI
Hugging Face
Hugging Face
Free $25 in credits for new accounts. Usage-based pricing from $0.10/million tokens for smaller models to $3.50/million for large models. Enterprise custom pricing.
Free for most models and Spaces. Pro $9/month for private models, priority inference, and ZeroGPU. Enterprise Hub from $20/user/month for team collaboration and security.
SOC 2 Type II certified. US-based infrastructure. Enterprise includes data handling agreements.
Enterprise Hub includes SSO, access controls, audit logs, and private infrastructure. SOC 2 compliant.
US-based infrastructure addresses data sovereignty concerns for EU and US organisations. Enterprise plans include data processing agreements. Review privacy policy for model fine-tuning data handling.
Public models and datasets are openly accessible. Enterprise Hub provides private model storage with data handling agreements. Review individual model licences before commercial deployment.
- Competitive pricing for open source model inference
- Fast inference speeds suitable for production applications
- US-based infrastructure addresses data sovereignty concerns
- Managed fine-tuning reduces complexity of model adaptation
- De facto standard hub for open source AI models with 500,000+ available
- Transformers library provides consistent API for diverse model families
- Spaces enable easy demo deployment without web infrastructure
- Free for public models and strong community support
- Developer-only platform with limited accessibility for non-technical users
- OpenAI API compatibility can have edge case differences
- Less model variety than Hugging Face Inference
- Technical platform primarily for developers and researchers
- Inference API quality varies for very large or complex models
- Navigation complexity increases with scale of the platform
Technical & deployment info
Key facts about model providers, platforms, and team support.
Model Provider
Meta, Mistral AI, Black Forest Labs, Open Source
Models
Llama 3.3, Mistral Large, Mixtral, FLUX
Platforms
Web, API
Deployment
SaaS, API
Integrations
Python, Node.js, API, OpenAI-compatible endpoints
Team Collaboration
No
Launch Year
2022
Security & privacy
Compliance signals and data-handling notes as reported by the vendor.
SOC 2 Type II certified. US-based infrastructure. Enterprise includes data handling agreements.
US-based infrastructure addresses data sovereignty concerns for EU and US organisations. Enterprise plans include data processing agreements. Review privacy policy for model fine-tuning data handling.
What users are saying
Verified reviews from signed-in users, stored in the backend and averaged into this tool's rating.
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Common questions about Together AI
Editorial Verdict
Should you use Together AI?
Together AI is a strong choice for development teams wanting cost-competitive, fast inference for open source models from US-based infrastructure. Non-technical users will not find direct utility.
Last verified July 24, 2026.